{"id":"W7115818315","doi":"","title":"HIGH-RISK CAD & VASCULAR OUTCOMES WITH NON-CARDIAC SURGERY","year":2015,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perioperative; Coronary artery disease; CAD; Unstable angina; Disease; Angina; Cardiovascular event","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005853873,0.0001185323,0.0001181614,0.0003444674,0.0005022539,0.001101805,0.0001584341,0.0001866341,0.01699373],"category_scores_gemma":[0.002132558,0.0000716448,0.0002068847,0.0005630326,0.0001626149,0.0004066582,0.000594434,0.0006400684,0.001546837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006301801,"about_ca_system_score_gemma":0.001534543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393356,"about_ca_topic_score_gemma":0.01627157,"domain_scores_codex":[0.9997545,0.00005175243,0.00001053954,0.00003625569,0.0000936074,0.00005351452],"domain_scores_gemma":[0.9993672,0.00008161389,0.0001251818,0.00001955344,0.0001561573,0.0002502599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002668237,0.001050282,0.4219629,0.0009251596,0.0001209198,0.0001298288,0.003035021,0.0002108054,0.0006012305,0.009164332,0.1569069,0.4056257],"study_design_scores_gemma":[0.0000148329,0.0001293503,0.9367934,0.0005271274,0.00005390911,0.0001355443,0.002013641,0.00009629742,0.0003420829,0.00259248,0.05729098,0.00001032816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5706754,0.04647078,0.0006994748,0.05139071,0.001653967,0.0002226902,0.004174756,0.00006634385,0.324646],"genre_scores_gemma":[0.8755651,0.040632,0.001108074,0.00295158,0.001120733,0.0001161161,0.001694032,0.00002712971,0.07678521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699373,"threshold_uncertainty_score":0.05684972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009749966984012797,"score_gpt":0.2106470486358591,"score_spread":0.2008970816518463,"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."}}