{"id":"W3165411730","doi":"10.3390/children8060431","title":"Diagnostic Accuracy of 3D Ultrasound and Artificial Intelligence for Detection of Pediatric Wrist Injuries","year":2021,"lang":"en","type":"article","venue":"Children","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Alberta","funders":"","keywords":"Wrist; Medicine; Ultrasound; Emergency department; Radiography; Radiology; Reliability (semiconductor); Medical diagnosis","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":[0.007360469,0.0005613505,0.0004477811,0.003581999,0.0002993893,0.001215564,0.0006382828,0.000957013,0.0009838199],"category_scores_gemma":[0.03475944,0.0003778684,0.0004762564,0.0009998302,0.0007340288,0.0009486077,0.0009588636,0.0003949898,0.0005327868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004275428,"about_ca_system_score_gemma":0.0004048493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992324,"about_ca_topic_score_gemma":0.002868743,"domain_scores_codex":[0.9919705,0.003953279,0.0007324431,0.001162797,0.001956255,0.0002246729],"domain_scores_gemma":[0.9763684,0.01545915,0.002947178,0.001588435,0.003168484,0.0004683404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004451,0.0001344531,0.8686994,0.0001384853,0.0002453617,0.0002499911,0.0004480825,0.006723625,0.007266832,0.0002996945,0.0006874242,0.1141022],"study_design_scores_gemma":[0.00007569212,0.00141884,0.7739348,0.0001471272,0.0003310058,0.002811825,0.0005894161,0.2003045,0.0163575,0.001268068,0.002667578,0.00009353551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683266,0.001949716,0.02482679,0.0002297071,0.00006501829,0.00009847598,0.0003238,0.0004044077,0.003775645],"genre_scores_gemma":[0.9854683,0.0003018338,0.0137188,0.00005602613,0.00002607239,0.00002560398,0.0001679633,0.00001399143,0.000221493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007360469,"threshold_uncertainty_score":0.03892636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178384644454986,"score_gpt":0.3376879326011458,"score_spread":0.305904086156596,"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."}}