{"id":"W2208520907","doi":"10.1016/j.annemergmed.2013.11.007","title":"Measuring and Explaining Computed Tomography Use in the United States and Canada: A Consideration of Health Economics and Use Versus Appropriateness, and Interpreting Potential Conflict of Interest","year":2014,"lang":"en","type":"letter","venue":"Annals of Emergency Medicine","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Conflict of interest; Computed tomography; MEDLINE; Demography; Radiology; Law","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":[0.00346829,0.0003523518,0.0008468598,0.001356808,0.005502796,0.003142567,0.002512915,0.02184609,0.004049494],"category_scores_gemma":[0.0561777,0.0006469868,0.0009290702,0.001876838,0.003560084,0.001937235,0.001306082,0.02075065,0.000882677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03732476,"about_ca_system_score_gemma":0.05731713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.785633,"about_ca_topic_score_gemma":0.8663833,"domain_scores_codex":[0.9953083,0.001061649,0.0009647791,0.0003200801,0.001297842,0.00104741],"domain_scores_gemma":[0.9589254,0.01978581,0.003080729,0.0005159053,0.01328653,0.004405673],"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":[0.000153278,0.0001866613,0.09335056,0.0001841376,0.0001300097,0.02441613,0.003439802,0.001037268,0.0003771781,0.009360108,0.8354401,0.03192474],"study_design_scores_gemma":[0.0003317524,0.0001929538,0.09899896,0.003927246,0.0005435897,0.03668209,0.02494261,0.01232642,0.001615032,0.03337796,0.7865157,0.000545699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006890564,0.0008015182,0.0001622726,0.98243,0.002172814,0.00002283036,0.0001364104,0.00001313671,0.007370431],"genre_scores_gemma":[0.1159724,0.002463444,0.001522216,0.8589874,0.01276202,0.00003748989,0.0001230834,0.00005927229,0.008072694],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.214367,"threshold_uncertainty_score":0.4312589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2752919606374006,"score_gpt":0.342609749224472,"score_spread":0.06731778858707138,"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."}}