{"id":"W2835930311","doi":"10.1097/ede.0000000000000888","title":"Accuracy of Administrative Health Data for Surveillance of Traumatic Brain Injury","year":2018,"lang":"en","type":"article","venue":"Epidemiology","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Traumatic brain injury; Incidence (geometry); Emergency department; Emergency medicine; Head injury; Injury prevention; Poison control; Pediatrics; Medical emergency; Surgery; Psychiatry","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":[0.0901134,0.0007216814,0.0009810883,0.006333908,0.0006847882,0.003181485,0.002332279,0.0009639729,0.0006875857],"category_scores_gemma":[0.3429956,0.0006579,0.00205265,0.007261674,0.001242855,0.002020425,0.002432234,0.001257302,0.0003055569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003499986,"about_ca_system_score_gemma":0.002940089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04412141,"about_ca_topic_score_gemma":0.02236849,"domain_scores_codex":[0.8521844,0.09327833,0.01818313,0.009145681,0.02480179,0.002406738],"domain_scores_gemma":[0.6847082,0.1591298,0.08399262,0.03523832,0.03496391,0.001967043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201205,0.00002899446,0.9767964,0.0002375994,0.001264846,0.00003222284,0.0002868689,0.004091738,0.000059028,0.000914492,0.00200425,0.01416336],"study_design_scores_gemma":[0.00003581626,0.00009281998,0.9518905,0.0006862155,0.0006192418,0.0002092036,0.0002710602,0.03779894,0.0005909682,0.002737378,0.005008041,0.00005977149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410689,0.01535151,0.08712377,0.006102437,0.0006562446,0.0005607341,0.03456025,0.0005690112,0.01400705],"genre_scores_gemma":[0.9864448,0.0006354971,0.005744655,0.0003151085,0.0001028147,0.00007388875,0.006533779,0.00002525453,0.0001242845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0901134,"threshold_uncertainty_score":0.4765709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3234989251124472,"score_gpt":0.486487666973217,"score_spread":0.1629887418607698,"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."}}