{"id":"W2126645456","doi":"10.1136/jech-2013-203098.19","title":"PREDICTING THE OCCURRENCE OF MAJOR ADVERSE CARDIAC EVENTS WITHIN 30 DAYS AFTER A PATIENT'S VASCULAR SURGERY: AN INDIVIDUAL PATIENT-DATA META-ANALYSIS","year":2013,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Mace; Medicine; Logistic regression; Internal medicine; Cardiology; Myocardial infarction; Natriuretic peptide; Receiver operating characteristic; Cardiac surgery; Heart failure; Surgery","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":[0.03406117,0.002913001,0.01160767,0.003172188,0.0006305922,0.003322821,0.002232952,0.002254214,0.002480643],"category_scores_gemma":[0.05181913,0.001369747,0.06346269,0.003911723,0.0006523295,0.001296429,0.001526863,0.003231444,0.0003497119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202884,"about_ca_system_score_gemma":0.00156298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005356328,"about_ca_topic_score_gemma":0.006081778,"domain_scores_codex":[0.9770322,0.01754239,0.001896449,0.002042706,0.001112816,0.0003733733],"domain_scores_gemma":[0.9450839,0.04558465,0.002930895,0.003867479,0.002004681,0.000528313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004707908,0.00002673023,0.01251409,0.009960076,0.9657431,0.00009494856,0.00002361494,0.002007614,0.0001808109,0.00009938669,0.000485795,0.004155951],"study_design_scores_gemma":[0.0006748268,0.0002896852,0.004894272,0.0006700419,0.9909192,0.0000710547,0.00001434815,0.001230443,0.0001042333,0.0003491216,0.0007618987,0.00002085237],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1280552,0.8387189,0.01973388,0.00259556,0.001567749,0.0007698167,0.006483651,0.00042554,0.001649775],"genre_scores_gemma":[0.8915814,0.09059041,0.01011766,0.0016959,0.0006561042,0.0009132208,0.003508014,0.000147368,0.0007899164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03406117,"threshold_uncertainty_score":0.1801348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804405950189873,"score_gpt":0.3793720046291276,"score_spread":0.1989314096101402,"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."}}