{"id":"W2049166903","doi":"10.1017/s1049023x12001446","title":"Triage During Mass Gatherings","year":2012,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine","keywords":"Triage; Mass-casualty incident; Mass gathering; Medical emergency; Population; Medicine; Poison control; Presentation (obstetrics); Injury prevention; Nursing; Public health; Surgery; Environmental health","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":[0.00139936,0.00087673,0.0009665139,0.002293102,0.002212307,0.001550019,0.001319321,0.001813931,0.0229805],"category_scores_gemma":[0.009539231,0.0003277514,0.001198621,0.001149117,0.0006580718,0.001614634,0.002604393,0.001982493,0.007820501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210666,"about_ca_system_score_gemma":0.001554562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003505339,"about_ca_topic_score_gemma":0.00444741,"domain_scores_codex":[0.9980764,0.000591812,0.0003060163,0.0002630333,0.0003954084,0.0003672905],"domain_scores_gemma":[0.9966931,0.0007647954,0.0009749454,0.0002201243,0.0007579899,0.0005889075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002990798,0.0006556478,0.1260513,0.005644327,0.0003617145,0.03262726,0.01398796,0.002616234,0.01627554,0.005141925,0.2104204,0.5832269],"study_design_scores_gemma":[0.0004094714,0.004950503,0.3654282,0.009546233,0.0006108122,0.0693306,0.02345906,0.008655068,0.0139688,0.01707224,0.4861535,0.000415543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5619153,0.04569803,0.1269313,0.02605683,0.01655496,0.01209845,0.008585337,0.004325567,0.1978341],"genre_scores_gemma":[0.878107,0.02670454,0.0383109,0.008032504,0.006047608,0.00315595,0.005543382,0.0004518874,0.03364619],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0229805,"threshold_uncertainty_score":0.07687747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086809644056878,"score_gpt":0.3796798291409816,"score_spread":0.3388117327004128,"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."}}