{"id":"W2295871801","doi":"10.1017/cjn.2015.320","title":"Health & Economic Burden of Traumatic Brain Injury in the Emergency Department","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Emergency department; Medicine; Traumatic brain injury; Epidemiology; Population; Injury prevention; Occupational safety and health; Incidence (geometry); Poison control; Emergency medicine; Health care; Indirect costs; Public health; Environmental health; Gerontology; Pediatrics; Demography; Psychiatry; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01099332,0.0002505903,0.0006644027,0.001113301,0.0008993295,0.0001393312,0.001961846,0.0001189771,0.0005466415],"category_scores_gemma":[0.002942608,0.000109883,0.0002511133,0.001002526,0.004976406,0.0005268856,0.000046659,0.0008177169,0.000009034717],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548953,"about_ca_system_score_gemma":0.005710897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004559235,"about_ca_topic_score_gemma":0.1135881,"domain_scores_codex":[0.9941693,0.00174919,0.001484923,0.0003952227,0.0009132487,0.00128815],"domain_scores_gemma":[0.9961519,0.001098177,0.0009026997,0.000245611,0.0002021584,0.001399413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002705897,0.00008723301,0.9457183,0.0000388448,0.00003159223,0.001403872,0.002557182,0.0004256993,0.0001316423,0.001571766,0.0117898,0.03597341],"study_design_scores_gemma":[0.001142902,0.1220221,0.7988493,0.0003043902,0.00003876239,0.03149302,0.001001774,0.0002978054,0.00006504089,0.03329839,0.01110764,0.0003789054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892211,0.0004822143,0.00002258421,0.1056734,0.0004195766,0.0003029107,0.00002086467,0.000005984452,0.000861488],"genre_scores_gemma":[0.9958671,0.0004976235,0.0008514918,0.00251862,0.0002058811,0.000005174705,2.170254e-7,0.000009025296,0.00004484777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1468691,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068057881596953,"score_gpt":0.3677637152598505,"score_spread":0.2609579271001552,"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."}}