{"id":"W2615350699","doi":"10.1017/cem.2017.389","title":"Factors associated with delay in trauma team activation and impact on patient outcomes","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Logistic regression; Injury Severity Score; Cohort; Univariate analysis; Population; Emergency medicine; Psychological intervention; Injury prevention; Pediatrics; Poison control; Internal medicine; Multivariate analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0002306566,0.0002179866,0.000560036,0.0004095814,0.000240871,0.000005503932,0.00010629,0.00007376439,0.0005484294],"category_scores_gemma":[0.001525495,0.0001169334,0.00009873906,0.0001298795,0.0001272248,0.0001509439,0.000005336384,0.0003068585,5.926142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668989,"about_ca_system_score_gemma":0.0002942172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01133936,"about_ca_topic_score_gemma":0.06286482,"domain_scores_codex":[0.9986945,0.00003217803,0.0005219352,0.0001367101,0.0003052543,0.0003094647],"domain_scores_gemma":[0.9984214,0.00005152945,0.0004340593,0.000208758,0.0002833518,0.0006009505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008481998,0.00003891803,0.9817641,0.00001133355,0.0002803999,0.00006135083,0.003318164,0.00001195097,0.00006639984,0.00001402006,0.00980488,0.004543623],"study_design_scores_gemma":[0.001625893,0.002473051,0.9918859,0.0005700941,0.0001130942,0.000005319373,0.001673263,0.000005952195,0.00007815246,0.00004403857,0.001409069,0.0001161708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988499,0.0004075075,0.000004086085,0.003188505,0.001437948,0.0001580381,0.0000106062,0.000003965446,0.006290283],"genre_scores_gemma":[0.9995154,0.00009571262,0.000003778249,0.00008548741,0.000130747,0.000001879259,0.000007212108,0.00001827144,0.0001414683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05152546,"threshold_uncertainty_score":0.9952442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221867822805744,"score_gpt":0.3630673084330591,"score_spread":0.2408805261524847,"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."}}