{"id":"W4410743945","doi":"10.1016/j.jhsa.2025.04.015","title":"Predicting Surgical Versus Nonsurgical Management of Acute Isolated Distal Radius Fractures in Patients Under Age 60 Using a Convolutional Neural Network","year":2025,"lang":"en","type":"article","venue":"The Journal Of Hand Surgery","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University Health Network; University of Toronto","funders":"University Health Network Foundation; University of Toronto","keywords":"Medicine; Radiography; Convolutional neural network; Emergency department; Surgery; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004727934,0.0004811381,0.0004224424,0.0006422232,0.000190811,0.0005802662,0.0004907547,0.0006795997,0.001238333],"category_scores_gemma":[0.003068544,0.0001984262,0.0005221298,0.000263612,0.0001727889,0.0003945615,0.0004775859,0.0006071717,0.0003048498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006203256,"about_ca_system_score_gemma":0.0005568046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01689247,"about_ca_topic_score_gemma":0.02810028,"domain_scores_codex":[0.9997588,0.00003543767,0.00002524268,0.00006104831,0.00003448697,0.00008501072],"domain_scores_gemma":[0.9992611,0.0003411944,0.0001557551,0.00002575032,0.0001029018,0.0001132302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008043118,0.0002414432,0.9708098,0.00002411614,0.0001209474,0.0001947213,0.00003418659,0.007555004,0.0004181174,0.00008105927,0.0007286762,0.01898772],"study_design_scores_gemma":[0.00005596315,0.0004726507,0.7331482,0.00005511176,0.0002816316,0.0005220597,0.0003365689,0.2631788,0.0008198268,0.0006241185,0.0004721889,0.00003286116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979758,0.0001855161,0.0006392878,0.0002110109,0.00002471751,0.000009873327,0.0005005432,0.00001508575,0.0004381578],"genre_scores_gemma":[0.9984148,0.0001036902,0.0004936933,0.00003009896,0.0000205233,0.000005433566,0.000751331,0.000001973639,0.0001784722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01689247,"threshold_uncertainty_score":0.03358829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871377277320809,"score_gpt":0.2925668521787209,"score_spread":0.2738530794055128,"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."}}