{"id":"W4412755582","doi":"10.1002/jhrm.70009","title":"Developing in situ large‐scale simulation strategies for enhanced patient safety","year":2025,"lang":"en","type":"article","venue":"Journal of Healthcare Risk Management","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Preparedness; Patient safety; Scale (ratio); Action plan; Health care; Test (biology); Medical emergency; Process management; Nursing; Operations management; Medicine; Business; Engineering","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":[0.00713072,0.0009291078,0.0003414417,0.0004815042,0.001028456,0.001740371,0.002214547,0.001198233,0.003688578],"category_scores_gemma":[0.01541963,0.0004706126,0.0007544535,0.0003167001,0.0008496913,0.001976002,0.002956287,0.0009350125,0.0003771571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697069,"about_ca_system_score_gemma":0.003840881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460995,"about_ca_topic_score_gemma":0.005134954,"domain_scores_codex":[0.9954162,0.003749574,0.0001356794,0.000201083,0.000250244,0.000247279],"domain_scores_gemma":[0.9892192,0.008143654,0.0006495396,0.0007280895,0.0006194975,0.0006400671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002687307,0.02098928,0.0824698,0.002242885,0.0005485988,0.001182907,0.02732624,0.5883893,0.03999553,0.01798439,0.005726489,0.2104574],"study_design_scores_gemma":[0.002735741,0.02838189,0.02952811,0.001288486,0.000600636,0.0008026735,0.03762114,0.7735446,0.05044776,0.02644635,0.04806902,0.0005335553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940397,0.0001566758,0.1852964,0.001320119,0.0001261598,0.003684605,0.0002572433,0.000795776,0.01432331],"genre_scores_gemma":[0.8744375,0.0001902947,0.1225664,0.0001879995,0.00001273536,0.00166652,0.0001770046,0.0000291517,0.000732537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00713072,"threshold_uncertainty_score":0.03771132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879883833252263,"score_gpt":0.4437192438175164,"score_spread":0.3949204054849938,"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."}}