{"id":"W2109731184","doi":"10.1197/j.aem.2006.08.021","title":"Predictive Validity of a Computerized Emergency Triage Tool","year":2007,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Capital District Health Authority","funders":"","keywords":"Triage; Medicine; Emergency department; Logistic regression; Odds ratio; Odds; Emergency medicine; Multivariate analysis; Categorical variable; Internal medicine; Statistics","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":[0.006030409,0.0006025008,0.0004176749,0.002885062,0.0003539094,0.001351759,0.0008499289,0.0009418269,0.002444526],"category_scores_gemma":[0.06870642,0.0003217922,0.0009396569,0.002273202,0.0007035942,0.001108427,0.0009887791,0.001114071,0.000433802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656478,"about_ca_system_score_gemma":0.001002806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075683,"about_ca_topic_score_gemma":0.002754968,"domain_scores_codex":[0.9953687,0.001754459,0.0006616173,0.0004504501,0.001443431,0.0003213549],"domain_scores_gemma":[0.9390711,0.04260438,0.01080148,0.001405507,0.00478486,0.001332694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009376377,0.00004423085,0.9966512,0.00001302894,0.00004179302,0.00002830558,0.0000354572,0.0002789098,0.00002410911,0.00004132873,0.0001923416,0.002555537],"study_design_scores_gemma":[0.00003058776,0.000311227,0.9862493,0.00007531678,0.00008267845,0.0004338797,0.0002211029,0.01171259,0.0001446095,0.0002473011,0.0004756805,0.00001569191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951562,0.0004149454,0.0008394836,0.0004448935,0.00008362745,0.00007390323,0.0009379278,0.00002986171,0.002019167],"genre_scores_gemma":[0.9985716,0.0001130987,0.0005472449,0.00003371769,0.0000356413,0.00002799242,0.0005766381,0.000003563272,0.00009054231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006030409,"threshold_uncertainty_score":0.03189224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863539775734705,"score_gpt":0.3773276161696691,"score_spread":0.3086922184123221,"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."}}