{"id":"W2888712360","doi":"10.1016/j.surg.2018.07.007","title":"Additional and repeated computed tomography in interfacility trauma transfers: Room for standardization","year":2018,"lang":"en","type":"article","venue":"Surgery","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Medicine; Trauma center; Computed tomography; Intensive care unit; Injury Severity Score; Standardization; Emergency medicine; Radiology; Poison control; Injury prevention; Retrospective cohort study; Surgery; Intensive care medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1568375,0.001254049,0.003392206,0.004037786,0.001738224,0.008545979,0.004891365,0.003108435,0.001362291],"category_scores_gemma":[0.29911,0.001043297,0.001822813,0.004376968,0.006064847,0.008273565,0.004167089,0.008176127,0.0006277969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060057,"about_ca_system_score_gemma":0.005516788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006746367,"about_ca_topic_score_gemma":0.0104379,"domain_scores_codex":[0.8875266,0.05057972,0.0341595,0.007970264,0.01725222,0.002511751],"domain_scores_gemma":[0.6961141,0.1626353,0.01840171,0.0671713,0.05237869,0.003298898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002184569,0.0006346588,0.603322,0.001630091,0.001407798,0.001943953,0.005098952,0.00434269,0.003383245,0.01627493,0.01299442,0.3467826],"study_design_scores_gemma":[0.0003779174,0.001721938,0.8459527,0.005272247,0.001885384,0.009908612,0.01584262,0.02765026,0.007983938,0.03001958,0.0527629,0.0006218828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5807837,0.1094509,0.1711184,0.04745827,0.02054827,0.002870962,0.002033862,0.001295243,0.06444044],"genre_scores_gemma":[0.9197235,0.00779236,0.05885859,0.005206842,0.005942123,0.0005438034,0.0006467468,0.0003819325,0.0009041359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568375,"threshold_uncertainty_score":0.8294458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278516904939949,"score_gpt":0.2781192803163446,"score_spread":0.2453341112669452,"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."}}