{"id":"W2120276442","doi":"10.1197/j.aem.2005.01.005","title":"Emergency Triage: Comparing a Novel Computer Triage Program with Standard Triage","year":2005,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Triage; Medicine; Confidence interval; Emergency department; Kappa; Medical emergency; Emergency medicine; Cohen's kappa; Nursing; Internal medicine; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001622532,0.000938497,0.002003512,0.0004702529,0.0004165118,0.000002232495,0.000565241,0.0004521448,0.004862036],"category_scores_gemma":[0.0006420567,0.0006565769,0.0003813897,0.001672935,0.0003615107,0.0003840382,0.0002118885,0.00194894,0.0001015416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645561,"about_ca_system_score_gemma":0.0001680646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009720784,"about_ca_topic_score_gemma":0.00008823483,"domain_scores_codex":[0.9929641,0.0001331254,0.002889132,0.001182845,0.001539371,0.001291396],"domain_scores_gemma":[0.9968711,0.0001160265,0.0007702595,0.0008952127,0.0006628987,0.0006845414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004955017,0.001083897,0.1633687,0.0009432575,0.002323039,0.00009957554,0.00834058,0.00009115598,0.006360843,0.001565148,0.7626803,0.0481885],"study_design_scores_gemma":[0.03346066,0.008867784,0.03513965,0.002000714,0.003407592,0.0002656023,0.002160514,0.004295949,0.001055438,0.0002115832,0.907226,0.001908486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139105,0.07316646,0.01953145,0.02266756,0.009819142,0.00739737,0.0001040085,0.00196201,0.05144146],"genre_scores_gemma":[0.9020495,0.06611093,0.006847566,0.001006747,0.01526813,0.0006386989,0.0003183208,0.0002470788,0.007513052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445458,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06278945043937469,"score_gpt":0.37593116395173,"score_spread":0.3131417135123553,"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."}}