{"id":"W2156133671","doi":"10.1016/j.surg.2012.04.006","title":"Gender-associated differences in access to trauma center care: A population-based analysis","year":2012,"lang":"en","type":"article","venue":"Surgery","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Health Sciences Centre; Canada Auto Workers","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Trauma center; Triage; Injury Severity Score; Confidence interval; Odds ratio; Logistic regression; Emergency medicine; Population; Retrospective cohort study; Confounding; Emergency department; Cohort; Emergency medical services; Poison control; Injury prevention; Internal medicine; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753528,0.0001352764,0.0005048209,0.0005724707,0.00005706788,0.00001399979,0.00005396963,0.00006236745,0.0002604368],"category_scores_gemma":[0.000189281,0.0001120787,0.0002780253,0.001243029,0.0000112166,0.00009833453,0.00002106977,0.00007852291,0.00001348841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001298017,"about_ca_system_score_gemma":0.0000353292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491452,"about_ca_topic_score_gemma":0.002702194,"domain_scores_codex":[0.9988106,0.00006380743,0.000302695,0.0001839886,0.0002538937,0.000385047],"domain_scores_gemma":[0.9994044,0.0001536505,0.00005396111,0.0001613449,0.00007992429,0.0001467074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003888795,0.000175135,0.9924633,0.00003837121,0.0003005759,0.000004823553,0.001147404,0.00001015952,0.000007208546,0.000002625336,0.001130616,0.004680881],"study_design_scores_gemma":[0.0002121106,0.000009675724,0.9986818,0.00003312153,0.0002506679,2.215976e-7,0.0003757882,0.00001344116,0.0000478286,0.00000345585,0.0002466677,0.0001251941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967864,0.0005794142,0.00002353773,0.0003586826,0.0005009914,0.0001412521,0.00002685753,0.00005201163,0.001530836],"genre_scores_gemma":[0.9991514,0.00001567861,0.00001906736,0.0004149808,0.0001033094,0.00003839964,0.0002098811,0.00001161829,0.00003568109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006218514,"threshold_uncertainty_score":0.4570436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09925192771248169,"score_gpt":0.3361311697864441,"score_spread":0.2368792420739624,"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."}}