Subset (5)

row · 4.08k rows

Split (1)

test · 4.08k rows

id stringlengths 21 26	question stringlengths 2.1k 124k	choices dict	answer stringclasses 10 values	category stringclasses 16 values	reasoning_group stringclasses 2 values	signal stringclasses 2 values	grounding stringclasses 2 values	representation stringclasses 1 value
Lit_user_10_2025-06-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: m, BMI: 26.2, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "this outcome cannot be predicted from wearable data under any circumstances", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "a higher risk of incident chronic cardiometabolic disease", "D": "a worsening cardiometabolic profile", "E": "a higher r...	H	prognostic_prediction	health	cross	literature	row
Lit_user_14_2025-01-13_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 42, Sex: m, BMI: 25.3, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "no meaningful change in this outcome is predicted either way", "D": "a higher risk of metabolic syndrome", "E": "an incipient infection developing before symptoms", "F": "w...	I	prognostic_prediction	health	cross	literature	row
Lit_user_17_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 20.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "persistently low cardiorespiratory fitness", "C": "a heightened inflammatory (CRP) response", "D": "reduced next-day physical activity", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "an i...	J	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-06-25_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of non-alcoholic fatty liver disease", "B": "a lower risk of non-alcoholic fatty liver disease", "C": "no meaningful change in this outcome is predicted either way", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a heightened inflammatory (CRP) ...	A	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-07-30_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a worsening cardiometabolic profile", "C": "reduced next-day physical activity", "D": "a higher risk of incident chronic cardiometabolic disease", "E": "a higher risk of non-alcoholic fatty liver disease", "F": "this outcome cannot...	B	prognostic_prediction	health	cross	literature	row
Lit_user_11_2024-09-18_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 48, Sex: f, BMI: 25.4, Ethnicity: white.eastern === SENSOR DATA (row: o...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a lower risk of cardiovascular disease", "C": "a higher risk of cardiovascular disease", "D": "persistently low cardiorespiratory fitness", "E": "a higher risk of incident chronic cardiometabolic disease", "F": "a higher risk of me...	C	prognostic_prediction	health	cross	literature	row
Lit_user_9_2025-12-30	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: f, BMI: 33.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "an incipient infection developing before symptoms", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "a higher risk of metabolic syndrome", "E": "a worsening cardiometabolic profile", "F": "reduced next-day physical ...	D	prognostic_prediction	health	cross	literature	row
Lit_user_11_2024-08-14	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 48, Sex: f, BMI: 25.4, Ethnicity: white.eastern === SENSOR DATA (row: o...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "persistently low cardiorespiratory fitness", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a lower risk of type 2 diabetes", "E": "a higher risk of type 2 diabetes and a worsening glycaemic-li...	E	prognostic_prediction	health	cross	literature	row
Lit_user_11_2024-10-23	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 48, Sex: f, BMI: 25.4, Ethnicity: white.eastern === SENSOR DATA (row: o...	{ "A": "reduced next-day physical activity", "B": "preserved or improving cardiorespiratory fitness", "C": "a worsening cardiometabolic profile", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher risk of metabolic syndrome", "F": "persistently low cardiorespi...	F	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-09-03_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "reduced next-day physical activity", "B": "a normal inflammatory response", "C": "a higher risk of incident chronic cardiometabolic disease", "D": "a higher risk of non-alcoholic fatty liver disease", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "no meanin...	G	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-10-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "persistently low cardiorespiratory fitness", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher risk of incident chronic cardiometabolic disease", ...	H	prognostic_prediction	health	cross	literature	row
Lit_user_21_2025-06-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 19.9, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "a heightened inflammatory (CRP) response", "C": "no meaningful change in this outcome is predicted either way", "D": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "E": "a higher risk of cardiovascular disease", ...	I	prognostic_prediction	health	cross	literature	row
Lit_user_16_2025-11-30_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 30.8, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "an incipient infection developing before symptoms", "C": "a higher risk of metabolic syndrome", "D": "reduced next-day physical activity", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "a higher risk of incident c...	J	prognostic_prediction	health	cross	literature	row
Lit_user_18_2025-05-07_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 62, Sex: m, BMI: 20.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "improving metabolic-syndrome components", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "persistently low cardiorespiratory fitness", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "a heightened inflammatory (CRP) respon...	A	prognostic_prediction	health	cross	literature	row
Lit_user_20_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 23.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "a lower risk of non-alcoholic fatty liver disease", "C": "no meaningful change in this outcome is predicted either way", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "this outcome cannot be predicted from wearable dat...	B	prognostic_prediction	health	cross	literature	row
Lit_user_20_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 23.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "a favourable cardiometabolic profile", "C": "a worsening cardiometabolic profile", "D": "reduced next-day physical activity", "E": "a higher risk of metabolic syndrome", "F": "no meaningful change in this outcome is predicted either w...	C	prognostic_prediction	health	cross	literature	row
Lit_user_20_2025-06-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 23.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "an incipient infection developing before symptoms", "D": "a lower risk of cardiovascular disease", "E": "a worsening cardiometabolic profile", "F": "a higher risk of in...	D	prognostic_prediction	health	cross	literature	row
Lit_user_17_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 20.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "a higher risk of metabolic syndrome", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "a worsening cardiometabolic profile", "E": "a lower risk of metabolic syndrome", "F": "persistently low cardiorespiratory fitness", "G": "no meani...	E	prognostic_prediction	health	cross	literature	row
Lit_user_18_2025-06-11_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 62, Sex: m, BMI: 20.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "reduced next-day physical activity", "E": "a higher risk of metabolic syndrome", "F": "...	F	prognostic_prediction	health	cross	literature	row
Lit_user_20_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 23.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a higher risk of metabolic syndrome", "C": "persistently low cardiorespiratory fitness", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "this outcome cannot be predicted from wearable data under...	G	prognostic_prediction	health	cross	literature	row
Lit_user_4_2024-11-27_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 30.3, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "an incipient infection developing before symptoms", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "a higher risk of incident chronic cardiometabolic disease", "E": "a heightened inflammatory (CRP) response", "F": "worsening metabolic-...	H	prognostic_prediction	health	cross	literature	row
Lit_user_6_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 21.7, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a higher risk of non-alcoholic fatty liver disease", "B": "reduced next-day physical activity", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "no meaningful change in this outcome is predicted either way", "E": "persistently low cardiorespiratory fitness", ...	I	prognostic_prediction	health	cross	literature	row
Lit_user_10_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: m, BMI: 26.2, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "B": "no meaningful change in this outcome is predicted either way", "C": "a heightened inflammatory (CRP) response", "D": "a worsening cardiometabolic profile", "E": "this outcome cannot be predicted from wear...	J	prognostic_prediction	health	cross	literature	row
Lit_user_25_2025-02-11	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 39.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "a worsening cardiometabolic profile", "C": "a lower risk of incident chronic cardiometabolic disease", "D": "no meaningful change in this outcome is predicted either way", "E": "reduced next-day physical activity", "F": "persistently ...	A	prognostic_prediction	health	cross	literature	row
Lit_user_25_2025-03-18_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 39.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "improving metabolic-syndrome components", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "persistently low cardiorespiratory fitness", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "no meaningful change ...	B	prognostic_prediction	health	cross	literature	row
Lit_user_25_2025-07-01_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 39.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "B": "a higher risk of metabolic syndrome", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "no meaningful change in this outcome is predicted either way", "E": "this outcome cannot be predicted...	C	prognostic_prediction	health	cross	literature	row
Lit_user_21_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 19.9, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "this outcome cannot be predicted from wearable data under any circumstances", "B": "a higher risk of metabolic syndrome", "C": "a heightened inflammatory (CRP) response", "D": "a worsening cardiometabolic profile", "E": "no meaningful change in this outcome is predicted either way", "F": "reduced ne...	D	prognostic_prediction	health	cross	literature	row
Lit_user_12_2025-12-31_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 24.9, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a lower risk of cardiovascular disease", "B": "no meaningful change in this outcome is predicted either way", "C": "a worsening cardiometabolic profile", "D": "an incipient infection developing before symptoms", "E": "a higher risk of cardiovascular disease", "F": "a heightened inflammatory (CRP) re...	E	prognostic_prediction	health	cross	literature	row
Lit_user_13_2023-08-23	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 30.6, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "an incipient infection developing before symptoms", "C": "a heightened inflammatory (CRP) response", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "reduced next-day physical activity", "F"...	F	prognostic_prediction	health	cross	literature	row
Lit_user_14_2025-01-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 42, Sex: m, BMI: 25.3, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a lower risk of type 2 diabetes", "B": "a higher risk of cardiovascular disease", "C": "persistently low cardiorespiratory fitness", "D": "a higher risk of metabolic syndrome", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "no meaningful change in this outc...	G	prognostic_prediction	health	cross	literature	row
Lit_user_15_2024-06-05	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 24.3, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "preserved or improving cardiorespiratory fitness", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "no meaningful change in this outcome is predicted either way", "E": "a higher risk of non-alcoholic fatty liver disease"...	H	prognostic_prediction	health	cross	literature	row
Lit_user_21_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 19.9, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "a higher risk of non-alcoholic fatty liver disease", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "no meaningful change in this outcome is predicted either way", "E": "an incipient infection d...	I	prognostic_prediction	health	cross	literature	row
Lit_user_22_2025-05-06_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 39, Sex: m, BMI: 33.5, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "a higher risk of cardiovascular disease", "C": "maintained next-day physical activity", "D": "persistently low cardiorespiratory fitness", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "an incipient infection...	J	prognostic_prediction	health	cross	literature	row
Lit_user_22_2025-06-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 39, Sex: m, BMI: 33.5, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "a higher risk of cardiovascular disease", "C": "a higher risk of incident chronic cardiometabolic disease", "D": "a worsening cardiometabolic profile", "E": "no meaningful change in this outcome is predicted either way", "F": "no infection si...	A	prognostic_prediction	health	cross	literature	row
Lit_user_20_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 23.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "a lower risk of incident chronic cardiometabolic disease", "C": "no meaningful change in this outcome is predicted either way", "D": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "E": "an incipient infection dev...	B	prognostic_prediction	health	cross	literature	row
Lit_user_23_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 44, Sex: f, BMI: 30.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "persistently low cardiorespiratory fitness", "C": "improving metabolic-syndrome components", "D": "no meaningful change in this outcome is predicted either way", "E": "a higher risk of non-alcoholic fatty liver disease", ...	C	prognostic_prediction	health	cross	literature	row
Lit_user_23_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 44, Sex: f, BMI: 30.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "B": "a heightened inflammatory (CRP) response", "C": "a higher risk of metabolic syndrome", "D": "a lower risk of non-alcoholic fatty liver disease", "E": "a higher risk of non-alcoholic fatty liver disease", ...	D	prognostic_prediction	health	cross	literature	row
Lit_user_22_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 39, Sex: m, BMI: 33.5, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "reduced next-day physical activity", "C": "a heightened inflammatory (CRP) response", "D": "no meaningful change in this outcome is predicted either way", "E": "a worsening cardiometabolic profile", "F": "a higher risk of incident chronic cardiometabolic d...	E	prognostic_prediction	health	cross	literature	row
Lit_user_21_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 19.9, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "no meaningful change in this outcome is predicted either way", "C": "a higher risk of cardiovascular disease", "D": "a higher risk of incident chronic cardiometabolic disease", "E": "a worsening cardiometabolic profile", "F": "a lower risk of cardiova...	F	prognostic_prediction	health	cross	literature	row
Lit_user_21_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 19.9, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of non-alcoholic fatty liver disease", "B": "no meaningful change in this outcome is predicted either way", "C": "an incipient infection developing before symptoms", "D": "a worsening cardiometabolic profile", "E": "reduced next-day physical activity", "F": "a heightened inflammatory (...	G	prognostic_prediction	health	cross	literature	row
Lit_user_23_2025-06-12_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 44, Sex: f, BMI: 30.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "a higher risk of cardiovascular disease", "C": "persistently low cardiorespiratory fitness", "D": "a higher risk of metabolic syndrome", "E": "this outcome cannot be predicted from wearable data under any circumstances", "F": "a worse...	H	prognostic_prediction	health	cross	literature	row
Lit_user_23_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 44, Sex: f, BMI: 30.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "reduced next-day physical activity", "C": "a higher risk of non-alcoholic fatty liver disease", "D": "no meaningful change in this outcome is predicted either way", "E": "this outcome cannot be predicted from wearable dat...	I	prognostic_prediction	health	cross	literature	row
Lit_user_6_2025-07-17_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 21.7, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a higher risk of non-alcoholic fatty liver disease", "B": "a higher risk of cardiovascular disease", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "no meaningful change in this outcome is predicted either way", "E": "a heightened inflammatory (CRP) response",...	J	prognostic_prediction	health	cross	literature	row
Lit_user_7_2024-10-26	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 20.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "maintained next-day physical activity", "B": "reduced next-day physical activity", "C": "an incipient infection developing before symptoms", "D": "a higher risk of incident chronic cardiometabolic disease", "E": "a higher risk of cardiovascular disease", "F": "a higher risk of non-alcoholic fatty li...	A	prognostic_prediction	health	cross	literature	row
Lit_user_15_2024-08-14_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 24.3, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "no infection signal", "C": "no meaningful change in this outcome is predicted either way", "D": "a higher risk of cardiovascular disease", "E": "a worsening cardiometabolic profile", "F": "this outcome cannot be predicted from wearabl...	B	prognostic_prediction	health	cross	literature	row
Lit_user_26_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a worsening cardiometabolic profile", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "a higher risk of incident chronic cardiometabolic disease", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher r...	C	prognostic_prediction	health	cross	literature	row
Lit_user_32_2025-07-25_2	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "persistently low cardiorespiratory fitness", "C": "an incipient infection developing before symptoms", "D": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "E": "reduced next-day physical ...	D	prognostic_prediction	health	cross	literature	row
Lit_user_32_2025-08-29	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a higher risk of metabolic syndrome", "E": "a highe...	E	prognostic_prediction	health	cross	literature	row
Lit_user_25_2025-05-27_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 39.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "no meaningful change in this outcome is predicted either way", "C": "an incipient infection developing before symptoms", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a heightened inflammatory...	F	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-08-30_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "a lower risk of cardiovascular disease", "C": "no meaningful change in this outcome is predicted either way", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher risk of incident chronic cardiometa...	G	prognostic_prediction	health	cross	literature	row
Lit_user_16_2025-08-19	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 30.8, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "reduced next-day physical activity", "C": "a lower risk of metabolic syndrome", "D": "a heightened inflammatory (CRP) response", "E": "persistently low cardiorespiratory fitness", "F": "this outcome cannot be predicted from wearable data unde...	H	prognostic_prediction	health	cross	literature	row
Lit_user_16_2025-10-28	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 30.8, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a higher risk of metabolic syndrome", "C": "a higher risk of incident chronic cardiometabolic disease", "D": "a higher risk of cardiovascular disease", "E": "this outcome cannot be predicted from wearable data under any circumstances...	I	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-05-17	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "no meaningful change in this outcome is predicted either way", "C": "preserved or improving cardiorespiratory fitness", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "an incipient infection developing before symptoms",...	J	prognostic_prediction	health	cross	literature	row
Lit_user_30_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: m, BMI: 20.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "a higher risk of cardiovascular disease", "D": "a normal inflammatory response", "E": "a higher risk of non-alcoholic fatty liver disease", "F": "a higher risk of inci...	A	prognostic_prediction	health	cross	literature	row
Lit_user_34_2025-05-04_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 64, Sex: m, BMI: 25.4, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "this outcome cannot be predicted from wearable data under any circumstances", "B": "reduced next-day physical activity", "C": "no meaningful change in this outcome is predicted either way", "D": "maintained next-day physical activity", "E": "a higher risk of cardiovascular disease", "F": "a higher r...	B	prognostic_prediction	health	cross	literature	row
Lit_user_24_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 47, Sex: f, BMI: 23.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "an incipient infection developing before symptoms", "D": "a higher risk of cardiovascular disease", "E": "no infection signal", "F": "th...	C	prognostic_prediction	health	cross	literature	row
Lit_user_23_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 44, Sex: f, BMI: 30.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "reduced next-day physical activity", "B": "no meaningful change in this outcome is predicted either way", "C": "persistently low cardiorespiratory fitness", "D": "a lower risk of incident chronic cardiometabolic disease", "E": "a higher risk of incident chronic cardiometabolic disease", "F": "a wors...	D	prognostic_prediction	health	cross	literature	row
Lit_user_24_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 47, Sex: f, BMI: 23.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "persistently low cardiorespiratory fitness", "B": "reduced next-day physical activity", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "no meaningful change in this outcome is predicted either way", "E": "improving metabolic-syndrome components", "F": "this out...	E	prognostic_prediction	health	cross	literature	row
Lit_user_24_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 47, Sex: f, BMI: 23.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "an incipient infection developing before symptoms", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a heightened inflammatory (CRP) response", "E": "a higher risk of metabolic syndrome", "F...	F	prognostic_prediction	health	cross	literature	row
Lit_user_27_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 28.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a higher risk of incident chronic cardiometabolic disease", "C": "an incipient infection developing before symptoms", "D": "a higher risk of metabolic syndrome", "E": "a higher risk of cardiovascular disease", "F": "a heightened in...	H	prognostic_prediction	health	cross	literature	row
Lit_user_24_2025-06-12	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 47, Sex: f, BMI: 23.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "an incipient infection developing before symptoms", "C": "reduced next-day physical activity", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "no meaningful change in this outcome is predicted either way", "F": "a ...	I	prognostic_prediction	health	cross	literature	row
Lit_user_24_2025-07-17	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 47, Sex: f, BMI: 23.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "a worsening cardiometabolic profile", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a higher risk of metabolic syndrome", "E": "reduced next-day physical activity", "F": "no m...	J	prognostic_prediction	health	cross	literature	row
Lit_user_27_2025-05-08	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 28.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "preserved or improving cardiorespiratory fitness", "B": "persistently low cardiorespiratory fitness", "C": "reduced next-day physical activity", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher risk of non-alcoholic fatty liver disease", "F": "a wors...	A	prognostic_prediction	health	cross	literature	row
Lit_user_7_2024-11-30_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 20.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of cardiovascular disease", "B": "a normal inflammatory response", "C": "reduced next-day physical activity", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "an incipient infection developing before symptoms", "F": "a higher risk of non-alcohol...	B	prognostic_prediction	health	cross	literature	row
Lit_user_7_2025-01-04_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 20.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a heightened inflammatory (CRP) response", "B": "an incipient infection developing before symptoms", "C": "maintained next-day physical activity", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "reduced next-day physical activity", "F": "no meaningful change...	C	prognostic_prediction	health	cross	literature	row
Lit_user_22_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 39, Sex: m, BMI: 33.5, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "a worsening cardiometabolic profile", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "no infection signal", "E": "persistently low cardiorespiratory fitness", "F": "worsening metabolic-syndrome components (hig...	D	prognostic_prediction	health	cross	literature	row
Lit_user_32_2025-10-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "a lower risk of incident chronic cardiometabolic disease", "D": "persistently low cardiorespiratory fitness", "E": "a higher risk of incident chronic...	E	prognostic_prediction	health	cross	literature	row
Lit_user_34_2025-11-15	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 64, Sex: m, BMI: 25.4, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "an incipient infection developing before symptoms", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "improving metabolic-syndrome components", "E": "this outcome cannot be predicted from wearable...	F	prognostic_prediction	health	cross	literature	row
Lit_user_35_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 26.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "a higher risk of cardiovascular disease", "C": "a lower risk of non-alcoholic fatty liver disease", "D": "no meaningful change in this outcome is predicted either way", "E": "this outcome cannot be predicted from wearable...	G	prognostic_prediction	health	cross	literature	row
Lit_user_26_2025-05-08	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a worsening cardiometabolic profile", "B": "a higher risk of incident chronic cardiometabolic disease", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a lower risk of cardiovascular disease", "E": "a higher risk of metabolic syndrome", "F": "persistently lo...	I	prognostic_prediction	health	cross	literature	row
Lit_user_16_2025-12-02	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 30.8, Ethnicity: asian === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "no meaningful change in this outcome is predicted either way", "C": "a heightened inflammatory (CRP) response", "D": "a higher risk of non-alcoholic fatty liver disease", "E": "reduced next-day physical activity", "F": "persistently low cardiorespiratory f...	J	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-06-21	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "no meaningful change in this outcome is predicted either way", "D": "a lower risk of type 2 diabetes", "E": "a worsening cardiometabolic ...	A	prognostic_prediction	health	cross	literature	row
Lit_user_19_2024-07-26	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 56, Sex: f, BMI: 37.1, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "a higher risk of metabolic syndrome", "B": "persistently low cardiorespiratory fitness", "C": "reduced next-day physical activity", "D": "preserved or improving cardiorespiratory fitness", "E": "a higher risk of non-alcoholic fatty liver disease", "F": "an incipient infection developing before sympt...	B	prognostic_prediction	health	cross	literature	row
Lit_user_34_2025-11-14_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 64, Sex: m, BMI: 25.4, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "reduced next-day physical activity", "C": "a heightened inflammatory (CRP) response", "D": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "E": "no meaningful change in this outcome is predicted eith...	C	prognostic_prediction	health	cross	literature	row
Lit_user_28_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 34, Sex: f, BMI: 22.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "no infection signal", "C": "persistently low cardiorespiratory fitness", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "an incipient infection developing before symptoms", "F": "a heightened inflammatory (CRP)...	E	prognostic_prediction	health	cross	literature	row
Lit_user_30_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: m, BMI: 20.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "no meaningful change in this outcome is predicted either way", "C": "reduced next-day physical activity", "D": "a higher risk of metabolic syndrome", "E": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "F": "a ...	F	prognostic_prediction	health	cross	literature	row
Lit_user_30_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: m, BMI: 20.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "persistently low cardiorespiratory fitness", "B": "an incipient infection developing before symptoms", "C": "a heightened inflammatory (CRP) response", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "a higher risk of non-alcoholic fatty liver disease", "F": ...	G	prognostic_prediction	health	cross	literature	row
Lit_user_30_2025-06-12	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: m, BMI: 20.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a heightened inflammatory (CRP) response", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "an incipient infection developing before symptoms", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "a higher risk of metabolic syn...	H	prognostic_prediction	health	cross	literature	row
Lit_user_35_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 26.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "an incipient infection developing before symptoms", "B": "a heightened inflammatory (CRP) response", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "no meaningful change in this outcome is predicted either way", "E": "a favourable cardiometabolic profile", "...	I	prognostic_prediction	health	cross	literature	row
Lit_user_27_2025-08-21	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: m, BMI: 28.5, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "a higher risk of metabolic syndrome", "C": "no meaningful change in this outcome is predicted either way", "D": "persistently low cardiorespiratory fitness", "E": "a heightened inflammatory (CRP) response", "F": "this outcome cannot be predicted from w...	J	prognostic_prediction	health	cross	literature	row
Lit_user_28_2025-05-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 34, Sex: f, BMI: 22.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a lower risk of metabolic syndrome", "B": "an incipient infection developing before symptoms", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a worsening cardiometabolic profile", "E": "a higher risk of metabolic syndrome", "F": "persistently low cardioresp...	A	prognostic_prediction	health	cross	literature	row
Lit_user_28_2025-06-12	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 34, Sex: f, BMI: 22.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a higher risk of cardiovascular disease", "B": "a lower risk of type 2 diabetes", "C": "persistently low cardiorespiratory fitness", "D": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "E": "a higher risk of metabolic syndrome", "F": "a worsening cardiometabolic profile"...	B	prognostic_prediction	health	cross	literature	row
Lit_user_28_2025-07-17	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 34, Sex: f, BMI: 22.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "reduced next-day physical activity", "B": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "C": "preserved or improving cardiorespiratory fitness", "D": "persistently low cardiorespiratory fitness", "E": "a higher risk of non-alcoholic fatty liver disease", "F": "a worseni...	C	prognostic_prediction	health	cross	literature	row
Lit_user_7_2025-02-08_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 25, Sex: m, BMI: 20.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a heightened inflammatory (CRP) response", "B": "an incipient infection developing before symptoms", "C": "a higher risk of cardiovascular disease", "D": "a normal inflammatory response", "E": "no meaningful change in this outcome is predicted either way", "F": "a higher risk of incident chronic car...	D	prognostic_prediction	health	cross	literature	row
Lit_user_9_2025-08-11	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 27, Sex: f, BMI: 33.8, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "reduced next-day physical activity", "B": "a higher risk of incident chronic cardiometabolic disease", "C": "a heightened inflammatory (CRP) response", "D": "this outcome cannot be predicted from wearable data under any circumstances", "E": "maintained next-day physical activity", "F": "persistently...	E	prognostic_prediction	health	cross	literature	row
Lit_user_22_2025-08-21_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 39, Sex: m, BMI: 33.5, Ethnicity: black === SENSOR DATA (row: one line ...	{ "A": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "B": "a heightened inflammatory (CRP) response", "C": "no meaningful change in this outcome is predicted either way", "D": "a higher risk of incident chronic cardiometabolic disease", "E": "a worsening cardiome...	F	prognostic_prediction	health	cross	literature	row
Lit_user_35_2025-06-12	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 33, Sex: f, BMI: 26.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of metabolic syndrome", "B": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "C": "no meaningful change in this outcome is predicted either way", "D": "an incipient infection developing before symptoms", "E": "a lower risk of incident chronic ...	G	prognostic_prediction	health	cross	literature	row
Lit_user_37_2023-10-30	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 29, Sex: m, BMI: 36.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "reduced next-day physical activity", "E": "a higher risk of non-alcoholic fatty...	H	prognostic_prediction	health	cross	literature	row
Lit_user_45_2024-01-08	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: m, BMI: 31.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "no meaningful change in this outcome is predicted either way", "B": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "C": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "D": "a higher risk of cardiovascular disease", "E": "a lowe...	I	prognostic_prediction	health	cross	literature	row
Lit_user_26_2025-06-12	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of cardiovascular disease", "B": "persistently low cardiorespiratory fitness", "C": "a lower risk of cardiovascular disease", "D": "an incipient infection developing before symptoms", "E": "a worsening cardiometabolic profile", "F": "no meaningful change in this outcome is predicted ei...	A	prognostic_prediction	health	cross	literature	row
Lit_user_25_2025-04-22	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: f, BMI: 39.7, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "an incipient infection developing before symptoms", "B": "a higher risk of metabolic syndrome", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a heightened inflammatory (CRP) response", "E": "a worsening cardiometabolic profile", "F": "no meaningful change ...	B	prognostic_prediction	health	cross	literature	row
Lit_user_26_2025-04-03	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of metabolic syndrome", "B": "a higher risk of cardiovascular disease", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "a lower risk of type 2 diabetes", "E": "reduced next-day physical activity", "F": "persistently low cardiorespiratory fitness",...	C	prognostic_prediction	health	cross	literature	row
Lit_user_26_2025-07-17	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 31, Sex: f, BMI: 18.3, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "B": "an incipient infection developing before symptoms", "C": "no meaningful change in this outcome is predicted either way", "D": "persistently low cardiorespiratory fitness", "E": "preserved or improving cardiorespiratory fi...	D	prognostic_prediction	health	cross	literature	row
Lit_user_32_2025-10-24_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 40, Sex: m, BMI: 46.2, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of cardiovascular disease", "B": "a worsening cardiometabolic profile", "C": "a heightened inflammatory (CRP) response", "D": "no meaningful change in this outcome is predicted either way", "E": "persistently low cardiorespiratory fitness", "F": "a higher risk of incident chronic cardi...	G	prognostic_prediction	health	cross	literature	row
Lit_user_38_2024-10-21	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 35, Sex: f, BMI: 19.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "reduced next-day physical activity", "C": "this outcome cannot be predicted from wearable data under any circumstances", "D": "a worsening cardiometabolic profile", "E": "no meaningful change in this outcome is predicted either way", ...	H	prognostic_prediction	health	cross	literature	row
Lit_user_38_2024-11-25	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 35, Sex: f, BMI: 19.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "this outcome cannot be predicted from wearable data under any circumstances", "B": "an incipient infection developing before symptoms", "C": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "D": "reduced next-day physical activity", "E": "worsening metabolic-syndrome compone...	I	prognostic_prediction	health	cross	literature	row
Lit_user_38_2024-12-30	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 35, Sex: f, BMI: 19.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "worsening metabolic-syndrome components (higher triglycerides, lower HDL, higher glucose)", "B": "a higher risk of type 2 diabetes and a worsening glycaemic-lipid profile", "C": "an incipient infection developing before symptoms", "D": "a higher risk of cardiovascular disease", "E": "a higher risk of ...	J	prognostic_prediction	health	cross	literature	row
Lit_user_45_2024-04-22_1	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 58, Sex: m, BMI: 31.2, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "this outcome cannot be predicted from wearable data under any circumstances", "C": "no meaningful change in this outcome is predicted either way", "D": "an incipient infection developing before symptoms", "E": "a higher risk of non-alcoholic fatty liver dise...	A	prognostic_prediction	health	cross	literature	row
Lit_user_38_2025-03-10	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 35, Sex: f, BMI: 19.6, Ethnicity: hispanic === SENSOR DATA (row: one li...	{ "A": "a higher risk of incident chronic cardiometabolic disease", "B": "a lower risk of cardiovascular disease", "C": "persistently low cardiorespiratory fitness", "D": "a heightened inflammatory (CRP) response", "E": "no meaningful change in this outcome is predicted either way", "F": "a higher risk of c...	B	prognostic_prediction	health	cross	literature	row
Lit_user_28_2025-08-21	You are given a user's demographics, wearable health sensor history, blood biomarker panel, a cohort reference distribution, and a multiple-choice question. Analyze the data carefully and select the single best answer. === USER PROFILE === Age: 34, Sex: f, BMI: 22.0, Ethnicity: white === SENSOR DATA (row: one line ...	{ "A": "a worsening cardiometabolic profile", "B": "a heightened inflammatory (CRP) response", "C": "a lower risk of metabolic syndrome", "D": "a higher risk of metabolic syndrome", "E": "an incipient infection developing before symptoms", "F": "a higher risk of non-alcoholic fatty liver disease", "G": "p...	C	prognostic_prediction	health	cross	literature	row

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