{"id":"W4366241514","doi":"10.1111/anae.16024","title":"Machine learning to predict myocardial injury and death after non‐cardiac surgery","year":2023,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"British Heart Foundation","keywords":"Medicine; Receiver operating characteristic; Cardiac surgery; Internal medicine; Population; Cardiology; Area under the curve; 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":[0.006210938,0.0008890328,0.0007351828,0.00095809,0.0002102458,0.0009165045,0.0005830915,0.0005577613,0.0007996236],"category_scores_gemma":[0.01536719,0.0002567214,0.0007749401,0.0005917563,0.0002692031,0.0006092425,0.0006557395,0.001031976,0.0002661049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005606985,"about_ca_system_score_gemma":0.0005979529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622808,"about_ca_topic_score_gemma":0.003589219,"domain_scores_codex":[0.9982144,0.00119199,0.0001215335,0.0001993701,0.0001468799,0.0001259993],"domain_scores_gemma":[0.992149,0.006086148,0.0008095204,0.0003265716,0.0004418072,0.0001870266],"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":[0.001726286,0.0006156313,0.8070139,0.0001857087,0.001730392,0.0001796113,0.0001427451,0.105748,0.00106235,0.0004349253,0.001585004,0.07957526],"study_design_scores_gemma":[0.0001008331,0.0009989039,0.2751889,0.0001533827,0.0003818184,0.0002533816,0.0001310359,0.7171811,0.001135338,0.003711203,0.0007149102,0.00004922785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834282,0.002033774,0.01224153,0.0006572122,0.00008989526,0.00004393106,0.0006233145,0.00009515652,0.0007869333],"genre_scores_gemma":[0.9961143,0.000271896,0.002715365,0.00007029328,0.00003687359,0.00002602105,0.0005247423,0.000005491637,0.0002350311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006210938,"threshold_uncertainty_score":0.03284699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198319481569034,"score_gpt":0.2514282198232347,"score_spread":0.2394450250075444,"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."}}