{"id":"W3157601164","doi":"10.1016/s0735-1097(21)02885-0","title":"PREDICTING MORTALITY IN PATIENTS WITH CORONARY ARTERY DISEASE REFERRED TO CARDIAC REHABILITATION: A MACHINE LEARNING APPROACH","year":2021,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Rehabilitation; Coronary artery disease; Cardiology; Internal medicine; Disease; Physical therapy","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":[0.001338937,0.0001350352,0.000894803,0.0001330723,0.0002420657,0.000001842664,0.0002487566,0.00006114314,0.000008636829],"category_scores_gemma":[0.002713206,0.00009382178,0.000212929,0.0007280399,0.0002562531,0.00008025268,0.0001740383,0.0009201196,0.000001966342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100168,"about_ca_system_score_gemma":0.0009635211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001387469,"about_ca_topic_score_gemma":0.0001414191,"domain_scores_codex":[0.993965,0.003987492,0.001064252,0.0002232079,0.0004262869,0.0003337478],"domain_scores_gemma":[0.9961421,0.001224509,0.001039848,0.0004124819,0.0009804699,0.0002006253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001475836,0.00005246098,0.9865152,0.00008893453,0.0001254558,0.00005256536,0.0007069901,0.01031644,0.00001924329,0.0000496377,0.0002874814,0.0003097991],"study_design_scores_gemma":[0.0003060234,0.0007612419,0.9889296,0.0002103054,0.0000699452,0.00001125538,0.008536858,0.0003064112,0.000003718204,0.0001279407,0.000651957,0.00008477371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960238,0.0001456067,0.0001419043,0.001913181,0.0005976482,0.0006619668,0.0001663134,0.000008520132,0.0003410288],"genre_scores_gemma":[0.9982034,0.00001936017,0.001089695,0.0003077308,0.000252083,0.00003654866,0.000007655294,0.00002026832,0.00006325861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001003,"threshold_uncertainty_score":0.3997513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861260297661527,"score_gpt":0.3761614927551679,"score_spread":0.3275488897785526,"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."}}