{"id":"W2038985290","doi":"10.1016/j.annemergmed.2009.07.024","title":"Emergency Medical Services Intervals and Survival in Trauma: Assessment of the “Golden Hour” in a North American Prospective Cohort","year":2009,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":387,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; Institute of Circulatory and Respiratory Health; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; American Heart Association","keywords":"Medicine; Glasgow Coma Scale; Confidence interval; Odds ratio; Prospective cohort study; Injury Severity Score; Emergency medicine; Logistic regression; Emergency medical services; Cohort; Cohort study; Poison control; Injury prevention; Internal medicine; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001423472,0.0002783567,0.0004604448,0.0009524504,0.0006138146,0.00097681,0.000603059,0.0007988844,0.0009985893],"category_scores_gemma":[0.004074435,0.0004663373,0.0007506762,0.001109567,0.0004730995,0.001453886,0.0009214385,0.001246979,0.000153116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308469,"about_ca_system_score_gemma":0.0005834411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008373966,"about_ca_topic_score_gemma":0.007898794,"domain_scores_codex":[0.9993716,0.0001944456,0.00006387187,0.0001354281,0.00007480192,0.0001598823],"domain_scores_gemma":[0.9963859,0.0006168204,0.00121517,0.0004198018,0.00026241,0.001099893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910675,0.0000304612,0.9991426,0.000001706884,0.00003015424,0.00003871881,0.00009410526,0.0000179093,0.00007021469,0.00002953448,0.00005115555,0.0003023647],"study_design_scores_gemma":[0.000005191491,0.0000845164,0.9991686,0.000002466902,0.00001625875,0.00008434231,0.000416295,0.000122274,0.00001772655,0.00002768078,0.00005110369,0.000003569976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994599,0.00009784361,0.00004079059,0.00005215023,0.000007778742,0.000002521468,0.0001516963,0.000001507959,0.0001857731],"genre_scores_gemma":[0.99953,0.00006600386,0.00003766871,0.00002295308,0.00001598601,0.000003794306,0.0002553027,0.000001966443,0.00006642499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008373966,"threshold_uncertainty_score":0.01665044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05447709379423348,"score_gpt":0.4012070323582275,"score_spread":0.346729938563994,"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."}}