{"id":"W2046347551","doi":"10.1186/cc7983","title":"Using Medical Emergency Teams to detect preventable adverse events","year":2009,"lang":"en","type":"article","venue":"Critical Care","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Patient Safety Institute; University of Ottawa","keywords":"Medicine; Adverse effect; Emergency medicine; Medical emergency; Near miss; Rapid response team; Patient safety; Emergency department; MEDLINE; Intensive care medicine; Health care; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007981751,0.0007385763,0.0004444096,0.004061397,0.0004460823,0.0006785305,0.0009827109,0.0005417818,0.001540355],"category_scores_gemma":[0.04536436,0.0002692788,0.0003909343,0.001450222,0.000330514,0.0009016826,0.001392227,0.0005744132,0.0005924773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006459564,"about_ca_system_score_gemma":0.001627598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982809,"about_ca_topic_score_gemma":0.003581618,"domain_scores_codex":[0.9867252,0.007165974,0.00175496,0.001172065,0.00284508,0.0003367355],"domain_scores_gemma":[0.9509405,0.01873823,0.01653835,0.002270183,0.01022051,0.001292138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004012927,0.0003418592,0.8202263,0.0006554294,0.0001673834,0.0002479071,0.001358934,0.0008677264,0.001922823,0.00010409,0.003087969,0.1706183],"study_design_scores_gemma":[0.0001339555,0.002019543,0.9739749,0.0004482331,0.0001461973,0.00114977,0.001389821,0.00858371,0.006450634,0.000367759,0.005237917,0.00009748947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521035,0.001993718,0.02940256,0.001301209,0.0002712199,0.002522813,0.002652948,0.0007815199,0.008970546],"genre_scores_gemma":[0.9614338,0.0009757124,0.03379158,0.0003572469,0.0001946856,0.001174549,0.001178475,0.00003192438,0.0008619711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007981751,"threshold_uncertainty_score":0.04221201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007336761371874,"score_gpt":0.5070836807109305,"score_spread":0.406350004573743,"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."}}