{"id":"W4229369762","doi":"10.1503/cmaj.212072","title":"Optimizing timing of completion of the Surgical Safety Checklist to account for emergence from anesthesia","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Checklist; Patient safety; Medicine; Surgical procedures; Key (lock); Surgical team; Medical emergency; Health care; Computer science; Surgery; Psychology; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.006322469,0.000770385,0.0007168972,0.001517095,0.0009960486,0.001848657,0.001176764,0.0007261995,0.008914846],"category_scores_gemma":[0.05245711,0.000255357,0.0006437948,0.0007150222,0.0002434637,0.001590902,0.001232012,0.002315756,0.002168806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512065,"about_ca_system_score_gemma":0.009965709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007203029,"about_ca_topic_score_gemma":0.01255845,"domain_scores_codex":[0.9947744,0.002026965,0.0008987735,0.0003968402,0.001424377,0.0004786693],"domain_scores_gemma":[0.9815853,0.005201685,0.006094981,0.000654857,0.004175438,0.002287712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007472319,0.001873314,0.1335887,0.001811887,0.0001857978,0.0007470214,0.001430195,0.004105244,0.002331479,0.001968838,0.08982367,0.7613866],"study_design_scores_gemma":[0.0009851813,0.007475544,0.779932,0.01241247,0.0007770886,0.004674816,0.006769664,0.02347411,0.0100064,0.01053678,0.1424454,0.0005105436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4327751,0.03629195,0.2775326,0.1058244,0.01556576,0.01170021,0.005281196,0.008180707,0.1068481],"genre_scores_gemma":[0.8165609,0.01056744,0.1513972,0.00641112,0.002448418,0.004002146,0.001996713,0.0005306492,0.006085376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008914846,"threshold_uncertainty_score":0.03343683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422491995975231,"score_gpt":0.2587762096314686,"score_spread":0.2445512896717163,"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."}}