{"id":"W2981271550","doi":"10.1016/j.jacc.2019.07.083","title":"Individualizing Revascularization Strategy for Diabetic Patients With Multivessel Coronary Disease","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Mace; Conventional PCI; Percutaneous coronary intervention; Cardiology; Internal medicine; Revascularization; Myocardial infarction; Coronary artery disease; Angina; Diabetes mellitus","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":[0.0001619474,0.00008459118,0.0004919414,0.00008646076,0.00003214,0.000002263381,0.0001169949,0.00002106483,0.000009641552],"category_scores_gemma":[0.0002575807,0.00005126776,0.0003278817,0.0001605063,0.0001571028,0.00004901966,0.00003460564,0.0000993507,7.570643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004598924,"about_ca_system_score_gemma":0.000185401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001446277,"about_ca_topic_score_gemma":4.7373e-7,"domain_scores_codex":[0.9991561,0.0001174252,0.0003232075,0.0000888353,0.0001997914,0.0001146195],"domain_scores_gemma":[0.9984093,0.0002469881,0.0005918615,0.0002042413,0.000472634,0.00007501213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001478462,0.0001262927,0.9937059,0.00007725647,0.0004441132,0.00002131668,0.00001117963,0.002216646,0.0001108417,0.0002065337,0.0005726831,0.001028753],"study_design_scores_gemma":[0.002906889,0.003192023,0.9914802,0.0002218075,0.0005647358,0.00006620784,0.0002263443,0.00009379178,0.00003421342,0.00009667157,0.001057887,0.0000591893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997031,0.0001790085,0.001476149,0.0003170327,0.0001893125,0.000519348,0.0001787927,0.000002498171,0.000106867],"genre_scores_gemma":[0.998938,0.00003465164,0.0006930403,0.0001147664,0.00007693247,0.000006260114,0.0000120586,0.00001117468,0.0001131787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003065731,"threshold_uncertainty_score":0.2090638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296353206466798,"score_gpt":0.2694475724411953,"score_spread":0.2564840403765273,"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."}}