{"id":"W4307843934","doi":"10.1002/clc.23915","title":"Multimorbidity, functional impairment, and mortality in older patients stable after prior acute myocardial infarction: Insights from the TIGRIS registry","year":2022,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Toronto; University of Alberta; St. Michael's Hospital","funders":"AstraZeneca","keywords":"Medicine; Comorbidity; Myocardial infarction; Poisson regression; Internal medicine; Functional impairment; Confidence interval; Incidence (geometry); Relative risk; Demography; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001793632,0.0002483174,0.000421912,0.002165556,0.0002381422,0.0006453343,0.0005417469,0.0003472962,0.0009482571],"category_scores_gemma":[0.004696992,0.0001442061,0.0006495162,0.003687637,0.000162145,0.0003955435,0.0009049593,0.0005335044,0.0002455855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000607759,"about_ca_system_score_gemma":0.0008891468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928131,"about_ca_topic_score_gemma":0.02621913,"domain_scores_codex":[0.9993373,0.0001832133,0.0001017713,0.00009554456,0.0001665113,0.0001157101],"domain_scores_gemma":[0.996926,0.0004525657,0.001757607,0.0002707115,0.0002627584,0.0003303344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003643861,0.00001411539,0.9979066,0.00001970504,0.00004540761,0.00002422827,0.00003722906,0.00005125077,0.00001209824,0.00001992568,0.000426486,0.001406552],"study_design_scores_gemma":[0.000003410929,0.00001364465,0.9994231,0.00001612548,0.00002902562,0.00006508575,0.00006288775,0.0001109838,0.00001021475,0.00002067769,0.0002424316,0.000002381828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810682,0.00114368,0.0001456917,0.0004130017,0.0000163629,0.00003914189,0.01518394,0.00001931699,0.001970664],"genre_scores_gemma":[0.9875786,0.0007168684,0.00028033,0.0001052698,0.00003917477,0.00006068803,0.01100593,0.000004683657,0.0002083784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01928131,"threshold_uncertainty_score":0.03833812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0523908415892392,"score_gpt":0.349057359972388,"score_spread":0.2966665183831488,"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."}}