{"id":"W4247027827","doi":"10.1111/j.1553-2712.2006.tb01691.x","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":41,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03011611,0.0004787764,0.0005369114,0.001742873,0.0003166482,0.001336617,0.0007620088,0.0004521077,0.001020832],"category_scores_gemma":[0.1519573,0.0003337162,0.0006476563,0.001025649,0.0008421459,0.001070933,0.00190556,0.0004463092,0.00053417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004439384,"about_ca_system_score_gemma":0.0005685285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108809,"about_ca_topic_score_gemma":0.0009334348,"domain_scores_codex":[0.9507945,0.02748978,0.006368483,0.004506504,0.01014638,0.0006943375],"domain_scores_gemma":[0.8180006,0.1269153,0.0178783,0.008718347,0.02779294,0.0006944574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002504986,0.0001554644,0.8647403,0.000610903,0.0009096145,0.00009638412,0.004721854,0.003423076,0.003440775,0.0004320102,0.001251306,0.1177134],"study_design_scores_gemma":[0.0001326075,0.001241835,0.9639398,0.00034144,0.0002707324,0.0007091399,0.001677691,0.02237728,0.005735223,0.000675412,0.00279465,0.0001042669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732534,0.0007943237,0.02021815,0.000117089,0.0001675803,0.0002586436,0.0005446275,0.000172741,0.004473507],"genre_scores_gemma":[0.9958885,0.0001125581,0.003271413,0.00003239342,0.0000351343,0.00008919537,0.0002753333,0.00001776563,0.0002776583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03011611,"threshold_uncertainty_score":0.1592711,"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."}}