{"id":"W2151830509","doi":"10.1017/s1481803500010484","title":"Errors, near misses and adverse events in the emergency department: What can patients tell us?","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Emergency department; Near miss; Adverse effect; Confidence interval; Emergency medicine; Population; Health care; Medical record; Family medicine; Pediatrics; Medical emergency; Psychiatry; Internal medicine","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":[0.009141837,0.0008066618,0.002414437,0.00226519,0.003457119,0.007422957,0.001798863,0.01238384,0.007450354],"category_scores_gemma":[0.0925556,0.001241631,0.001557556,0.00280228,0.00346153,0.01947726,0.003053825,0.01205411,0.001914106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00283648,"about_ca_system_score_gemma":0.007596288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853537,"about_ca_topic_score_gemma":0.05148122,"domain_scores_codex":[0.9925706,0.002894261,0.001528015,0.0004953263,0.002025572,0.0004862311],"domain_scores_gemma":[0.9114268,0.04944531,0.01850413,0.001640278,0.01239272,0.006590746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001380378,0.0006501633,0.378127,0.006600583,0.0008819919,0.003449067,0.01730524,0.0006597397,0.0003380665,0.008153509,0.2625841,0.3198701],"study_design_scores_gemma":[0.0005824594,0.001740615,0.4405573,0.03138145,0.001958068,0.01705352,0.1742244,0.001849635,0.0005130366,0.06868231,0.2603604,0.001096866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05124085,0.1415927,0.001038737,0.7857254,0.0066612,0.00006212783,0.0009870911,0.00005230326,0.01263959],"genre_scores_gemma":[0.5054274,0.2628223,0.002706271,0.1859045,0.03790575,0.0002323283,0.0009114778,0.00005593626,0.004034001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02853537,"threshold_uncertainty_score":0.05673856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250562485684195,"score_gpt":0.3936842070339946,"score_spread":0.2686279584655751,"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."}}