{"id":"W2172895566","doi":"10.1111/acem.12824","title":"Understanding Overuse of Computed Tomography for Minor Head Injury in the Emergency Department: A Triangulated Qualitative Study","year":2015,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Radiology practices and education","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Emergency department; Computed tomography; Head (geology); Minor (academic); Medical emergency; Emergency medicine; Radiology; Humanities; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004057324,0.0002129365,0.0005492875,0.0004002318,0.00007190177,3.895767e-7,0.0002253612,0.000182893,0.0001705876],"category_scores_gemma":[0.001476077,0.0001404651,0.0001012015,0.001270985,0.0001182716,0.0001480463,0.00002171225,0.000469107,0.000003033686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237354,"about_ca_system_score_gemma":0.0001137232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268819,"about_ca_topic_score_gemma":0.00006706425,"domain_scores_codex":[0.9969798,0.0005977793,0.001321399,0.0003295607,0.0004465882,0.0003248345],"domain_scores_gemma":[0.998391,0.0003605675,0.0005643172,0.0003229596,0.0002035503,0.0001576421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003230497,0.001247047,0.4473057,0.0002163276,0.0006224224,0.00000700119,0.4116426,0.00001161086,0.001451588,0.002205142,0.131816,0.0002440773],"study_design_scores_gemma":[0.01506443,0.01182402,0.2301888,0.0003838692,0.001658028,0.00003458999,0.7199416,0.0008508008,0.0001175356,0.01189833,0.007574517,0.0004634603],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853572,0.003619015,0.0006045597,0.005611283,0.001795181,0.002253533,0.00001434721,0.00002793724,0.000716983],"genre_scores_gemma":[0.9980392,0.0007215285,0.0000932074,0.0001897626,0.0005059528,0.0001562839,0.0001100025,0.00002006935,0.0001640133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3082991,"threshold_uncertainty_score":0.5728002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3963000558968295,"score_gpt":0.5057362454489915,"score_spread":0.1094361895521621,"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."}}