{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0001365485,0.00007609203,0.0002213118,0.00004676086,0.00004907369,0.000008844089,0.00005392493,0.00007360876,0.00004599712],"category_scores_gemma":[0.01241753,0.00007144879,0.00006285641,0.0002539254,0.0001520381,0.00004185725,0.00002395876,0.0001010773,0.000004480371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001045663,"about_ca_system_score_gemma":0.00007573513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981636,"about_ca_topic_score_gemma":0.00001572759,"domain_scores_codex":[0.9991459,0.00001684195,0.0004386183,0.0001957899,0.0001057224,0.00009711952],"domain_scores_gemma":[0.9935729,0.005770116,0.0001658273,0.0002278139,0.0002083617,0.00005496237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001625104,0.0009096772,0.847425,0.0003534536,0.0001521197,5.405582e-7,0.000433381,0.000009540833,0.08555114,0.002908484,0.0001720225,0.06192209],"study_design_scores_gemma":[0.0001623056,0.0002382052,0.7301069,0.00002530927,0.0003043944,0.00002076945,0.00006939094,0.00001147187,0.2601402,0.008783772,0.0000604604,0.00007682429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859754,0.0006310256,0.01257612,0.0001413525,0.00006083121,0.000433125,0.0001064318,0.00001675426,0.00005890637],"genre_scores_gemma":[0.9953542,0.0006242201,0.003514568,0.00004303628,0.000316803,0.0000423893,0.00007636433,0.00001085437,0.0000175745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745891,"threshold_uncertainty_score":0.9959013,"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."}}