{"id":"W3082584683","doi":"10.1161/jaha.119.016003","title":"Predicting Risk of Atherosclerotic Cardiovascular Disease Using Pooled Cohort Equations in Older Adults With Frailty, Multimorbidity, and Competing Risks","year":2020,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Frailty in Older Adults","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Canadian Institutes of Health Research","keywords":"Medicine; Cohort; Cumulative incidence; Atherosclerotic cardiovascular disease; Framingham Risk Score; Incidence (geometry); Cohort study; Atherosclerosis Risk in Communities; Multimorbidity; Risk assessment; Disease; Internal medicine; Gerontology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0171914,0.001674619,0.001732727,0.002526363,0.0003467488,0.001360869,0.001419393,0.0009014308,0.001001354],"category_scores_gemma":[0.02918253,0.0008773278,0.004188064,0.001425199,0.0002102422,0.0008438392,0.001312882,0.001152669,0.0002895714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007310559,"about_ca_system_score_gemma":0.001450754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02537937,"about_ca_topic_score_gemma":0.01704744,"domain_scores_codex":[0.9967224,0.001648745,0.0003869561,0.0006103425,0.0004637853,0.0001678345],"domain_scores_gemma":[0.9856915,0.007289071,0.002273408,0.00206148,0.00226233,0.0004222672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007172784,0.0001669578,0.9487587,0.00008421695,0.005560553,0.0001151572,0.0001341882,0.02128438,0.0003185962,0.0003041475,0.0009844644,0.02157153],"study_design_scores_gemma":[0.0003719474,0.0009307623,0.5563095,0.0001563604,0.004589078,0.000506403,0.0001589702,0.4319843,0.0007355841,0.002184103,0.001943222,0.0001297557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100725,0.002535121,0.08057944,0.0003675729,0.0001834582,0.0003383632,0.004887819,0.0004498039,0.0005858578],"genre_scores_gemma":[0.9692065,0.0005932444,0.02592781,0.0001061265,0.00007390045,0.000243036,0.003409181,0.00003311664,0.0004071656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02537937,"threshold_uncertainty_score":0.09091789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549265366524469,"score_gpt":0.2901440087134565,"score_spread":0.2546513550482118,"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."}}