{"id":"W4281483450","doi":"10.1111/acem.14536","title":"Pre‐ and posttransfer computed tomography imaging in Canadian trauma centers: A multicenter retrospective cohort study","year":2022,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; University of Calgary; Dalhousie University; Institut National d'Excellence en Santé et en Services Sociaux; Université Laval; Hôpital de l'Enfant-Jésus","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intraclass correlation; Retrospective cohort study; Logistic regression; Odds ratio; Computed tomography; Incidence (geometry); Cohort; Cohort study; Radiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001543196,0.0005953299,0.0005733625,0.002408757,0.00230109,0.001455852,0.001763833,0.0007970531,0.002036904],"category_scores_gemma":[0.005566706,0.000735584,0.0007879588,0.005262746,0.0009138145,0.0007986934,0.001315236,0.0009845382,0.0002410473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0133898,"about_ca_system_score_gemma":0.01616038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8778224,"about_ca_topic_score_gemma":0.8833759,"domain_scores_codex":[0.9973966,0.0001659094,0.0002089685,0.0005499889,0.0009040706,0.0007744103],"domain_scores_gemma":[0.994859,0.0003449091,0.002352029,0.0003236002,0.001265667,0.0008548305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003061139,0.0000145685,0.9989231,0.00001219377,0.0000301735,0.00005271676,0.0001330636,0.00002242215,0.00003815289,0.00001534387,0.0001838789,0.000543821],"study_design_scores_gemma":[0.000005352855,0.00002893958,0.9989781,0.00001609078,0.00002371541,0.0001292611,0.0004736609,0.0001205334,0.00001801484,0.000006500867,0.000192453,0.000007508872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972335,0.0002980606,0.0001038463,0.0001441224,0.000008016215,0.00006589838,0.001618754,0.000008016407,0.0005199442],"genre_scores_gemma":[0.9981006,0.0002964209,0.000197887,0.0001097418,0.0000113277,0.00004489327,0.00110551,0.000004572154,0.0001292214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1221776,"threshold_uncertainty_score":0.2457942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867161265447591,"score_gpt":0.3093436522984328,"score_spread":0.2906720396439569,"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."}}