{"id":"W6885990004","doi":"10.1371/journal.pone.0293558.s003","title":"The overuse of computed tomography for mild head injury by the Canadian <i>computed tomography</i> Head Rule (<i>CCHR</i>).","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Head (geology); Head injury; Confidence interval; Clinical prediction rule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002573332,0.0009838898,0.001356074,0.00234116,0.0007164304,0.001168561,0.002995173,0.00137441,0.2947298],"category_scores_gemma":[0.02895082,0.0008947802,0.003406147,0.003007051,0.0005701972,0.002047561,0.0008025125,0.002830806,0.009812702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203456,"about_ca_system_score_gemma":0.00454962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2845018,"about_ca_topic_score_gemma":0.3097188,"domain_scores_codex":[0.9985795,0.0002964644,0.000205442,0.0003009148,0.0002512603,0.0003663551],"domain_scores_gemma":[0.9831321,0.0110727,0.002270285,0.0007742281,0.00214142,0.0006093186],"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":[0.002004922,0.00009175968,0.06176129,0.004814347,0.001186378,0.0002158173,0.0002290797,0.00101272,0.0001563994,0.002080434,0.9101021,0.01634493],"study_design_scores_gemma":[0.005580802,0.0006895707,0.7754743,0.01410897,0.00603441,0.001130298,0.002538244,0.00920339,0.001320136,0.005939849,0.1774891,0.0004911071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01026034,0.001055729,0.001694616,0.001944489,0.0009058364,0.0006356316,0.978785,0.0003763194,0.004342068],"genre_scores_gemma":[0.4906639,0.003049115,0.01485866,0.004161992,0.00140002,0.006517843,0.3967957,0.001368249,0.08118467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7154982,"threshold_uncertainty_score":0.9859694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803611092547394,"score_gpt":0.2709992716089972,"score_spread":0.2429631606835233,"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."}}