{"id":"W4388595696","doi":"10.1093/eurheartj/ehad655.2646","title":"Machine learning to predict myocardial injury and death after non-cardiac surgery","year":2023,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Receiver operating characteristic; Confidence interval; Cardiac surgery; Internal medicine; Cardiology; Troponin; Cohort; Population; Surgery; 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":[0.00281947,0.000738126,0.0005200184,0.0007824043,0.0002019414,0.0007439897,0.0005636267,0.0005259414,0.001252001],"category_scores_gemma":[0.00810574,0.0001542101,0.0005638562,0.0004701432,0.0003116305,0.0004810308,0.0005512641,0.0009167888,0.00030968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949549,"about_ca_system_score_gemma":0.0006517976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451245,"about_ca_topic_score_gemma":0.003044829,"domain_scores_codex":[0.999128,0.0004152822,0.00006917985,0.0001619519,0.0001263434,0.0000991779],"domain_scores_gemma":[0.9957597,0.002625483,0.0007316882,0.0001949982,0.0004472755,0.0002408377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007666637,0.0005316919,0.9047682,0.0001125304,0.0006092437,0.00009262416,0.00005519765,0.04271087,0.0006907097,0.0002022241,0.001592055,0.04786794],"study_design_scores_gemma":[0.0001457209,0.001433008,0.4855992,0.0002242944,0.0003717832,0.0003323889,0.0001667927,0.5035323,0.002515059,0.0042462,0.001374917,0.0000584395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868733,0.001652406,0.007799951,0.0008653221,0.00008660722,0.00006392376,0.001267801,0.00007311416,0.001317488],"genre_scores_gemma":[0.9962149,0.0002172765,0.002425717,0.00009551729,0.00003925207,0.0000358704,0.000711345,0.000003516387,0.0002563675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003451245,"threshold_uncertainty_score":0.01491094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460748443396933,"score_gpt":0.2779005828086969,"score_spread":0.2532930983747276,"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."}}