{"id":"W1769879536","doi":"10.1017/s1049023x00006002","title":"Accuracy of Computer Simulation to Predict Patient Flow during Mass-Casualty Incidents","year":2008,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Emergency department; Triage; Medical emergency; Computer science; Software; Mass-casualty incident; Simulation; Medicine; Emergency medicine; Poison control; Human factors and ergonomics; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00170011,0.0006116891,0.0004198614,0.000958304,0.0002527288,0.0009322109,0.0006500742,0.0006101639,0.001292759],"category_scores_gemma":[0.01503494,0.0002490114,0.0004693287,0.0003777333,0.0003214531,0.0004341305,0.0004232155,0.0003924862,0.0002409797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006037767,"about_ca_system_score_gemma":0.001190237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840373,"about_ca_topic_score_gemma":0.006596287,"domain_scores_codex":[0.9991751,0.0003998168,0.00007875817,0.0001470709,0.0001479247,0.00005125361],"domain_scores_gemma":[0.9924581,0.00556405,0.0004716707,0.0004494961,0.000751178,0.0003054692],"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":[0.001665497,0.0003430361,0.2842536,0.000074812,0.0001682662,0.00008388748,0.0001877358,0.6638985,0.001561395,0.0003409589,0.0008406183,0.04658182],"study_design_scores_gemma":[0.00006258994,0.0003224425,0.02115142,0.00003107832,0.00003299328,0.00007087623,0.00008295245,0.9764267,0.001085135,0.0002958552,0.0004216453,0.00001632124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577129,0.00022583,0.03824844,0.0002410828,0.00006271101,0.0001182024,0.0004288394,0.0007282001,0.002233887],"genre_scores_gemma":[0.9927592,0.00007516922,0.006516472,0.000027551,0.000008657606,0.00003171022,0.0004050584,0.00001404403,0.0001621758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01840373,"threshold_uncertainty_score":0.03659326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018980625672806,"score_gpt":0.3598330613933854,"score_spread":0.3196432551366573,"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."}}