{"id":"W4283330600","doi":"10.1093/eurheartj/ehac268","title":"Modifiable risk factors associated with cardiovascular disease and mortality in China: a PURE substudy","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Sanofi; Canadian Institutes of Health Research; Novartis; Ontario SPOR SUPPORT Unit; Ontario Ministry of Health and Long-Term Care; Population Health Research Institute","keywords":"Medicine; Demography; Cohort; Population; Incidence (geometry); Environmental health; Obesity; Abdominal obesity; Diabetes mellitus; Cohort study; Mortality rate; Disease; Internal medicine; Metabolic syndrome; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003686179,0.0002383907,0.0006704372,0.0001828386,0.0005649399,0.00008800274,0.0001222223,0.00002244488,0.0001107773],"category_scores_gemma":[0.0002965643,0.0001896112,0.0005640726,0.0003813436,0.00007693252,0.0001356055,0.0001322814,0.001191896,0.000004900568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667315,"about_ca_system_score_gemma":0.0001292102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632942,"about_ca_topic_score_gemma":0.00004384117,"domain_scores_codex":[0.9959058,0.001854,0.00030283,0.0003883594,0.001112616,0.0004363569],"domain_scores_gemma":[0.9987445,0.00003180999,0.0001147829,0.0005541281,0.00005924991,0.0004954627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001150275,0.0003450392,0.9774783,0.00002187479,0.002950838,0.00197365,0.0007127066,0.01386399,0.00000669265,0.000001611295,0.0003752341,0.002155094],"study_design_scores_gemma":[0.00310222,0.0003640411,0.9877082,0.00007638409,0.001213884,0.0001811442,0.000383799,0.0003878065,0.000008020718,0.00002095716,0.006332147,0.0002213632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920539,0.006432718,0.00004131663,0.00006702321,0.0001529486,0.000516973,0.00005395543,0.00005731086,0.0006237998],"genre_scores_gemma":[0.999222,0.000222794,0.00002924333,0.00005922653,0.0002066962,0.00001366558,0.00002948369,0.00007341575,0.0001435028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347618,"threshold_uncertainty_score":0.773212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311989808501713,"score_gpt":0.2457817963788787,"score_spread":0.2126618982938616,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}