{"id":"W2944873475","doi":"10.1097/sih.0000000000000372","title":"Simulation-Based Event Analysis Improves Error Discovery and Generates Improved Strategies for Error Prevention","year":2019,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Debriefing; Computer science; Event (particle physics); Root cause analysis; Data mining; Medicine; Reliability engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004661263,0.0003321167,0.0007460071,0.0003627355,0.001021452,0.00002118359,0.0003705852,0.0004932345,0.00001371154],"category_scores_gemma":[0.001329429,0.0002312259,0.0009287276,0.001279295,0.0001049061,0.0008278545,0.00006554423,0.0009384016,0.000001241006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009151572,"about_ca_system_score_gemma":0.001820007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006910983,"about_ca_topic_score_gemma":0.00201626,"domain_scores_codex":[0.9943023,0.001428667,0.002583929,0.0004059735,0.0006164255,0.0006626794],"domain_scores_gemma":[0.983831,0.01097302,0.002994918,0.0005532767,0.001476549,0.0001711911],"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":[0.0008730912,0.00006966647,0.1263392,0.001219875,0.0001342725,3.637874e-8,0.005288651,0.8650954,0.00004769037,0.0004539842,0.00001041689,0.0004676514],"study_design_scores_gemma":[0.003223473,0.0003868337,0.104612,0.0004542331,0.0002340849,1.286884e-7,0.007015629,0.8781515,0.000005775736,0.005346723,0.0003719859,0.0001976688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846718,0.0008787474,0.1764306,0.02906069,0.001520654,0.007241959,0.0001625235,0.00003081107,0.000002254644],"genre_scores_gemma":[0.9955338,0.00004625723,0.001096672,0.002430986,0.0002959615,0.0002339099,0.0001423261,0.00004894894,0.0001711129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210862,"threshold_uncertainty_score":0.942912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07499340332235338,"score_gpt":0.452291980432302,"score_spread":0.3772985771099486,"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."}}