{"id":"W2804335207","doi":"10.1093/pch/pxy054.020","title":"UTILIZATION OF COMPUTED TOMOGRAPHY FOR PEDIATRIC HEAD TRAUMA FROM 2007–2014 IN THE UNITED STATES: BEFORE AND AFTER PECARN CLINICAL DECISION RULES","year":2018,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Emergency department; Ambulatory; Logistic regression; Computed tomography; Pediatrics; Head injury; Emergency medicine; Head trauma; Pediatric trauma; Demographics; Poison control; Injury prevention; Surgery; Demography; Internal medicine; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006363951,0.0001656269,0.0002751576,0.0009320267,0.0003130298,0.001348254,0.0007312832,0.0005057366,0.0007189548],"category_scores_gemma":[0.02810193,0.0002846015,0.0007202736,0.001567829,0.0004323921,0.001081566,0.0009167516,0.001177432,0.00009769947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998143,"about_ca_system_score_gemma":0.002453476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155216,"about_ca_topic_score_gemma":0.02224677,"domain_scores_codex":[0.9932572,0.002617544,0.001064961,0.0008964293,0.001592804,0.0005711832],"domain_scores_gemma":[0.9784501,0.009433899,0.008307265,0.0005907894,0.002299917,0.0009180552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001168019,0.00005121371,0.9940364,0.00001898389,0.0000557423,0.00004910639,0.00005083906,0.0005665618,0.00001209414,0.00005795187,0.0005516557,0.004432634],"study_design_scores_gemma":[0.00002439537,0.0002060993,0.9915394,0.0000964796,0.0000623171,0.0001694653,0.0004749241,0.006277871,0.0002020494,0.00009722684,0.0008410783,0.000008665609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956192,0.0006420269,0.0003254202,0.0009015494,0.00003820624,0.00004074824,0.001370735,0.00001496823,0.001047036],"genre_scores_gemma":[0.998138,0.0002269333,0.0004275377,0.0001795716,0.00002718497,0.00001976118,0.000900589,0.000003172828,0.00007730427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02155216,"threshold_uncertainty_score":0.04285342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253473238317114,"score_gpt":0.358926413855947,"score_spread":0.3263916814727759,"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."}}