{"id":"W2942576487","doi":"10.1017/cem.2019.123","title":"LO81: Interrater agreement and time it takes to assign a Canadian Triage and Acuity Scale score pre and post implementation of eCTAS","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute; University of Toronto","funders":"","keywords":"Triage; Medicine; Emergency department; Workload; Medical emergency; Audit; Inter-rater reliability; Observational study; Staffing; Documentation; Patient safety; Emergency medicine; Nursing; Health care; Rating scale; Psychology","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":[0.03158027,0.0004595658,0.0008315202,0.002990435,0.002665714,0.002222168,0.001479882,0.0008126806,0.003759487],"category_scores_gemma":[0.09475477,0.0005409059,0.00153173,0.001679548,0.001304102,0.001827091,0.003212474,0.0015095,0.00143885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00462887,"about_ca_system_score_gemma":0.008589566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.130952,"about_ca_topic_score_gemma":0.2818076,"domain_scores_codex":[0.9741876,0.0090916,0.004670099,0.001751346,0.008586871,0.001712501],"domain_scores_gemma":[0.8857625,0.03667922,0.009622565,0.00471648,0.06029327,0.002926084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002477959,0.0003542136,0.8845329,0.000369135,0.0006496125,0.0001576922,0.01601386,0.0008641171,0.001333903,0.000687291,0.01402351,0.07853588],"study_design_scores_gemma":[0.0001416094,0.0004625893,0.976597,0.0002108926,0.0001724348,0.00009893486,0.01025044,0.002595396,0.001807335,0.0004219355,0.007072835,0.0001685944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710591,0.0003735533,0.005148454,0.0006150465,0.0003426084,0.001123655,0.003010232,0.0002555805,0.01807167],"genre_scores_gemma":[0.9792336,0.000223134,0.009406452,0.0002490702,0.00006212786,0.002104981,0.002183028,0.0001137869,0.00642385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.130952,"threshold_uncertainty_score":0.2603795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325248695984409,"score_gpt":0.3415232540023796,"score_spread":0.2982707670425355,"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."}}