{"id":"W4327918539","doi":"10.1016/j.jacc.2023.01.024","title":"Association of Incident Cardiovascular Disease With Time Course and Cumulative Exposure to Multiple Risk Factors","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Risk factor; Cumulative incidence; Blood pressure; Incidence (geometry); Internal medicine; Risk assessment; Stroke (engine); Asymptomatic; Pulse pressure; Disease; Cardiology; Cohort","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003007052,0.0001065024,0.001025715,0.0001571399,0.00005658653,0.000001744879,0.00009157879,0.00004556653,0.000003537193],"category_scores_gemma":[0.001085057,0.0000670108,0.0008001307,0.0005489902,0.0001277603,0.00004141772,0.00005605697,0.0001969938,0.000002258966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126446,"about_ca_system_score_gemma":0.0002476761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003861946,"about_ca_topic_score_gemma":0.000003063051,"domain_scores_codex":[0.9970171,0.001610642,0.0004419856,0.0001273065,0.0006399702,0.0001629764],"domain_scores_gemma":[0.9978907,0.0002401382,0.0008453368,0.0003119139,0.0005213884,0.0001905956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004848568,0.00004074487,0.965777,0.00006969642,0.006701432,0.00009070719,0.0002164327,0.0222481,0.0004789581,0.000003183704,0.001616449,0.002272386],"study_design_scores_gemma":[0.001512558,0.001064572,0.9924615,0.0001017445,0.001974297,0.0001000565,0.0006050876,0.0001480246,0.0001594463,0.00002344135,0.001786399,0.00006289232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966651,0.0003161,0.001412399,0.0008955942,0.0001289747,0.000424783,0.0001121928,0.000008324094,0.00003658836],"genre_scores_gemma":[0.999101,0.000333495,0.0001639229,0.00003981729,0.0001245403,0.000005091533,0.000003052289,0.00001376564,0.0002152533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668443,"threshold_uncertainty_score":0.2732621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267243377495349,"score_gpt":0.2790947044892904,"score_spread":0.2664222707143369,"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."}}