{"id":"W4410794330","doi":"10.1177/08465371251342064","title":"Computed Tomography Angiography Utilization in Lower Extremity Trauma: Insights From a Canadian Level I Trauma Centre","year":2025,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Vascular Procedures and Complications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Computed tomography angiography; Angiography; Emergency department; Radiology; Injury Severity Score; Retrospective cohort study; Psychological intervention; Computed tomography; Emergency medicine; Surgery; Injury prevention; Poison control","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":[0.0006025491,0.0002908544,0.0002350065,0.002238037,0.001565635,0.001239642,0.001082016,0.0004506024,0.003096129],"category_scores_gemma":[0.004250424,0.0002753458,0.0003344645,0.005173502,0.0005204156,0.000503025,0.00105015,0.0005863542,0.0003266889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01286223,"about_ca_system_score_gemma":0.02012229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9204628,"about_ca_topic_score_gemma":0.9272071,"domain_scores_codex":[0.9984813,0.00008805231,0.000132037,0.0001215362,0.0007238576,0.0004532456],"domain_scores_gemma":[0.9957498,0.0002425435,0.001533339,0.00005128115,0.001581173,0.0008419465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002083595,0.00002453617,0.9946945,0.0000510955,0.00001447588,0.0002123434,0.0003904657,0.00007883852,0.0001090703,0.00003031188,0.001129415,0.003244033],"study_design_scores_gemma":[0.000002151923,0.00002569881,0.9973058,0.00004950292,0.00001041125,0.0003124429,0.001434735,0.0001574702,0.00003133185,0.000008255106,0.0006544189,0.000007850005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902311,0.000931226,0.0001067516,0.001151921,0.00001499832,0.00006941279,0.002944661,0.00001232742,0.00453747],"genre_scores_gemma":[0.9975256,0.0008183106,0.0001911208,0.0002235674,0.00001605731,0.00001419672,0.001020684,0.000003709131,0.0001866917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07953721,"threshold_uncertainty_score":0.1600112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408802532288939,"score_gpt":0.2526077555378579,"score_spread":0.2285197302149685,"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."}}