{"id":"W4380793674","doi":"10.1161/circ.146.suppl_1.10748","title":"Abstract 10748: Development and Internal Validation of the Coronary Revascularization-Tool for Evidence-Based Individualized Share Decision-Making (CR-DECIDE) Major Adverse Cardiovascular Events Model","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of Alberta; University of British Columbia","funders":"","keywords":"Medicine; Mace; Revascularization; Internal medicine; Cardiology; Coronary artery disease; Proportional hazards model; Angina; Conventional PCI; Emergency medicine; Myocardial infarction","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":[0.01997185,0.0009182215,0.001160938,0.001561746,0.000488653,0.001767952,0.001965758,0.0008703674,0.003405168],"category_scores_gemma":[0.04990487,0.0005160494,0.001609546,0.0008958324,0.0004971322,0.0006483179,0.001906506,0.001858628,0.0008418454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598614,"about_ca_system_score_gemma":0.005688445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372275,"about_ca_topic_score_gemma":0.008188889,"domain_scores_codex":[0.9935403,0.004356729,0.0004278868,0.0006758437,0.0008169206,0.0001823161],"domain_scores_gemma":[0.9771171,0.01757595,0.001117216,0.0008291763,0.002978624,0.0003819196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002956389,0.002054601,0.2981023,0.0008057028,0.002528385,0.000418558,0.000561845,0.4177535,0.0007422411,0.01015019,0.01997675,0.2439498],"study_design_scores_gemma":[0.0004180433,0.0003845525,0.01834183,0.0001502769,0.0002258282,0.00008311607,0.00007743975,0.973954,0.0004599573,0.003865747,0.002008412,0.00003079694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6445227,0.0009104476,0.3248135,0.003387814,0.0002319548,0.005059114,0.01063028,0.002472125,0.007972024],"genre_scores_gemma":[0.8291916,0.000189603,0.1593042,0.000340562,0.000047766,0.003032426,0.006754484,0.00008861836,0.001050795],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01997185,"threshold_uncertainty_score":0.1056225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2486839241216884,"score_gpt":0.3780719569048204,"score_spread":0.129388032783132,"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."}}