{"id":"W4400920208","doi":"10.1089/neu.2024.0194","title":"Shifting Trends in the Epidemiology of Cervical Spine Injuries: An Analysis of 11,822 Patients from the National Electronic Injury Surveillance System over Two Decades","year":2024,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Epidemiology; Injury surveillance; Medicine; Injury prevention; Cervical spine; Poison control; Electronic surveillance; Human factors and ergonomics; Suicide prevention; Occupational safety and health; Medical emergency; Emergency medicine; Surgery; Pathology; Computer security; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781948,0.0001130154,0.0005550435,0.0005198025,0.00002908659,0.0000101535,0.000242859,0.00007267871,0.00005613983],"category_scores_gemma":[0.0005295409,0.00005923826,0.0002945374,0.001038514,0.00006656638,0.0001031697,0.00002050992,0.0004705724,1.918354e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009665234,"about_ca_system_score_gemma":0.00007218942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002276348,"about_ca_topic_score_gemma":0.0001543407,"domain_scores_codex":[0.9977598,0.0004716727,0.001003094,0.0001464061,0.0004621537,0.0001568899],"domain_scores_gemma":[0.9981924,0.0007717409,0.0005989775,0.0001598596,0.0002372138,0.00003985509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004079794,0.0001931575,0.9863617,0.00006090097,0.0003980169,0.000009870152,0.0007179974,0.0002116343,0.0007527494,0.003820933,0.0003917713,0.006673334],"study_design_scores_gemma":[0.0003134446,0.0009234279,0.9937264,0.0001351645,0.0002469587,0.00001329719,0.0001204358,0.003403657,0.0002558339,0.0003291976,0.0004860592,0.00004617286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972479,0.0006140663,0.0002365358,0.001617956,0.00007810776,0.00008658909,0.00004665068,0.00001118183,0.00006099371],"genre_scores_gemma":[0.9987988,0.00006088403,0.0001157518,0.0007402829,0.0002415156,0.000002851264,0.00002600647,0.00001048758,0.000003347757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007364694,"threshold_uncertainty_score":0.2415666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05194031734998705,"score_gpt":0.414158544332341,"score_spread":0.362218226982354,"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."}}