{"id":"W1969167985","doi":"10.1136/ebmed-2014-110090","title":"Physician practice and PECARN rule outperform CATCH and CHALICE rules based on the detection of traumatic brain injury as defined by PECARN","year":2014,"lang":"en","type":"letter","venue":"Evidence-Based Medicine","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computed tomography; Pediatrics; Gold standard (test); Cohort; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01815209,0.0004981456,0.001542125,0.001770209,0.0008466964,0.002921141,0.002499272,0.006118192,0.01387286],"category_scores_gemma":[0.2902958,0.000416591,0.0020966,0.001920991,0.001155233,0.002541902,0.001303551,0.007781445,0.005547681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075999,"about_ca_system_score_gemma":0.004472937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03276905,"about_ca_topic_score_gemma":0.04134151,"domain_scores_codex":[0.9820732,0.008171713,0.002395346,0.001875872,0.004841843,0.0006420909],"domain_scores_gemma":[0.7655528,0.180776,0.0136758,0.002492062,0.03444115,0.003062178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007642013,0.00005073228,0.02261847,0.00117579,0.000416728,0.000144565,0.0003476056,0.0002616743,0.00003236948,0.001077907,0.9226591,0.05045087],"study_design_scores_gemma":[0.004071175,0.001186011,0.1843798,0.04109889,0.0037762,0.001728339,0.00389543,0.009539392,0.001263991,0.02343666,0.724482,0.001142244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01202328,0.02138572,0.001964996,0.8999106,0.02762524,0.000339531,0.01653058,0.0002475574,0.01997249],"genre_scores_gemma":[0.2787138,0.03004302,0.009244848,0.5868314,0.06984198,0.001240317,0.01262118,0.0005031768,0.01096025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03276905,"threshold_uncertainty_score":0.09599859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154083209929348,"score_gpt":0.2961649819021624,"score_spread":0.254624149802869,"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."}}