{"id":"W2544974353","doi":"10.1017/cem.2016.386","title":"A pilot study examining the speed and accuracy of triage for simulated disaster patients in an emergency department setting: Comparison of a computerized version of Canadian Triage Acuity Scale (CTAS) and Simple Triage and Rapid Treatment (START) methods","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Triage; Medicine; Emergency department; Mass-casualty incident; Medical emergency; Population; Emergency medicine; Poison control; Nursing; Injury prevention","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":[0.006819607,0.0009413155,0.000862796,0.0008715637,0.0007387379,0.0007012045,0.001211098,0.001104911,0.002061369],"category_scores_gemma":[0.03261903,0.000825401,0.0008088355,0.0007684716,0.001142451,0.001803924,0.0006033087,0.001619859,0.0006067936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129296,"about_ca_system_score_gemma":0.001864686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009241,"about_ca_topic_score_gemma":0.01029026,"domain_scores_codex":[0.9963702,0.001805455,0.0003956215,0.0005488383,0.0006164975,0.0002633998],"domain_scores_gemma":[0.9592056,0.02502776,0.003764932,0.00304767,0.00640579,0.002548238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2556228,0.1567501,0.5134561,0.0003947561,0.0007234039,0.0007068297,0.006338222,0.001777963,0.01191653,0.0002630699,0.001162988,0.05088729],"study_design_scores_gemma":[0.02049523,0.5705563,0.3961163,0.0000298963,0.0003546462,0.0004694232,0.002148321,0.005454693,0.003427785,0.0001559159,0.0006712996,0.0001201542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99892,0.00001737721,0.0002991855,0.00001946352,0.00002542509,0.0004550309,0.00009907501,0.000008858487,0.0001556611],"genre_scores_gemma":[0.9949981,0.00005246016,0.003195472,0.0001577589,0.00005640174,0.0007929037,0.0003384116,0.00001148615,0.000396987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9899076,"threshold_uncertainty_score":0.03606594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3096090987639859,"score_gpt":0.4977717460103463,"score_spread":0.1881626472463604,"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."}}