{"id":"W2011052564","doi":"10.1197/j.aem.2005.10.014","title":"Reliability of Computerized Emergency Triage","year":2006,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Capital District Health Authority","funders":"","keywords":"Triage; Inter-rater reliability; Medicine; Confidence interval; Emergency department; Crowding; Overcrowding; Reliability (semiconductor); Medical emergency; Emergency medicine; Statistics; Nursing; Internal medicine","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":[0.0009781724,0.0004133593,0.001129243,0.0002378041,0.0001261692,1.286815e-7,0.0003110195,0.0003098549,0.006457319],"category_scores_gemma":[0.0009639684,0.0003088393,0.0003340153,0.00102161,0.000321654,0.000133077,0.0001226123,0.0006951281,0.000038969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005420248,"about_ca_system_score_gemma":0.00006102854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006106564,"about_ca_topic_score_gemma":0.00001193476,"domain_scores_codex":[0.9952965,0.0001160808,0.002690496,0.0006018616,0.0007568104,0.0005382096],"domain_scores_gemma":[0.9978416,0.00008253199,0.0006137912,0.0006709045,0.0006013447,0.0001898346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003191375,0.0002197111,0.2986899,0.0006576659,0.0001438102,0.00001280811,0.000581663,0.0000084981,0.09811713,0.002218335,0.5985541,0.0004773001],"study_design_scores_gemma":[0.007918201,0.001858369,0.7045579,0.0008993756,0.001523662,0.00005529433,0.000922308,0.0003481293,0.009188499,0.01624368,0.2554516,0.001032968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089322,0.02938916,0.0009849052,0.004064995,0.005857553,0.0008880435,0.00003173654,0.0002236352,0.04962778],"genre_scores_gemma":[0.945985,0.04484506,0.0003881458,0.0001530829,0.002700001,0.00004791197,0.0001304755,0.00004893493,0.005701455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.405868,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199853813754919,"score_gpt":0.3420880222740282,"score_spread":0.3100894841364791,"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."}}