{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003913094,0.0003461343,0.0005227437,0.0006798118,0.0004501823,0.0006593698,0.0003427895,0.0004957682,0.001924939],"category_scores_gemma":[0.001363411,0.0001528183,0.0005844045,0.0003350168,0.00008463678,0.0003643997,0.000313959,0.0009262034,0.0001830954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004498951,"about_ca_system_score_gemma":0.0006800691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011531,"about_ca_topic_score_gemma":0.003858,"domain_scores_codex":[0.9997234,0.0000679742,0.00003862025,0.00006213973,0.00003759183,0.00007036897],"domain_scores_gemma":[0.9997242,0.0000954644,0.00005342652,0.00001100361,0.00002890871,0.00008691652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00386682,0.003301192,0.7206336,0.0002047739,0.0007751169,0.00163155,0.0003384637,0.00446709,0.00429702,0.001273577,0.004938913,0.2542718],"study_design_scores_gemma":[0.0007728639,0.00314783,0.945972,0.0005024407,0.002069163,0.004235663,0.001056258,0.02794859,0.002601503,0.005514648,0.00609258,0.00008637305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832869,0.003406191,0.002979939,0.002107295,0.0001583504,0.0001427735,0.0001740146,0.00005777049,0.007686882],"genre_scores_gemma":[0.9955174,0.0008784981,0.002378363,0.0005031796,0.0001965137,0.00005535447,0.0001577326,0.000007145038,0.0003058255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001924939,"threshold_uncertainty_score":0.006439567,"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."}}