{"id":"W4413735867","doi":"10.33137/utmj.v102i2.45043","title":"When Algorithms Meet Anesthesia: A New Era of Patient Safety","year":2025,"lang":"en","type":"article","venue":"University of Toronto Medical Journal","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs","funders":"","keywords":"Medicine; Patient safety; Anesthesia; Computer science; Intensive care medicine; Algorithm; Political science; Law; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03688679,0.001414627,0.001966348,0.002532986,0.00281309,0.01594049,0.00344167,0.008829096,0.009756298],"category_scores_gemma":[0.1707395,0.0008226152,0.001101791,0.001761844,0.01510029,0.03373173,0.007954835,0.01323931,0.004936451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003082465,"about_ca_system_score_gemma":0.007986347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140423,"about_ca_topic_score_gemma":0.0009003442,"domain_scores_codex":[0.9607842,0.02207939,0.002404652,0.004108727,0.009478019,0.001144989],"domain_scores_gemma":[0.8602789,0.0983597,0.006916171,0.01500512,0.01378607,0.0056541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005590721,0.0002807367,0.01308217,0.001485774,0.0003568637,0.0004434727,0.005372349,0.006468981,0.001394687,0.3779113,0.1016977,0.4909468],"study_design_scores_gemma":[0.00007485416,0.0001844304,0.001261863,0.001029768,0.00005832634,0.0004293595,0.001959252,0.008904043,0.000889359,0.8105686,0.1745392,0.0001010049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01198426,0.04025948,0.2944932,0.6039012,0.005463039,0.0002274858,0.0005589406,0.001322468,0.04178992],"genre_scores_gemma":[0.4329702,0.04343414,0.3975736,0.0865852,0.02164544,0.0007220013,0.001317264,0.001681167,0.01407089],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03688679,"threshold_uncertainty_score":0.1950784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005056960953444584,"score_gpt":0.2210904276246394,"score_spread":0.2160334666711948,"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."}}