{"id":"W3089033164","doi":"10.1016/j.urology.2020.09.019","title":"Digital Pattern Recognition for the Identification and Classification of Hypospadias Using Artificial Intelligence vs Experienced Pediatric Urologist","year":2020,"lang":"en","type":"article","venue":"Urology","topic":"Urological Disorders and Treatments","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster Children's Hospital; SickKids Foundation; Hospital for Sick Children; McMaster University; University of Toronto","funders":"","keywords":"Hypospadias; Medicine; Artificial intelligence; Glans; Machine learning; Surgery; Penis; Computer science","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":[0.000516368,0.000235981,0.0002445273,0.0007993098,0.0001339147,0.0005931149,0.0002635786,0.0003401954,0.002107199],"category_scores_gemma":[0.001802295,0.00009138109,0.0002720752,0.0005246111,0.000128398,0.0003595649,0.0002735187,0.0003458238,0.0004280658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252228,"about_ca_system_score_gemma":0.0003153052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002121511,"about_ca_topic_score_gemma":0.002445565,"domain_scores_codex":[0.9997129,0.00006079939,0.000030952,0.00007728334,0.00008341846,0.00003462567],"domain_scores_gemma":[0.9994056,0.0002897717,0.00005775901,0.00004036438,0.0001701184,0.00003634106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008627876,0.000286829,0.09485669,0.0001648875,0.0001060554,0.0004613373,0.0001825613,0.005827058,0.03431608,0.0006251637,0.001952026,0.8603585],"study_design_scores_gemma":[0.000149688,0.002955136,0.3403859,0.0001865955,0.0004033409,0.006012273,0.001352536,0.567669,0.06777434,0.003147548,0.009870992,0.00009266989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8386546,0.002300838,0.1490829,0.0006016271,0.0002558631,0.0001969573,0.000673526,0.0007175547,0.007516142],"genre_scores_gemma":[0.9399425,0.0008104219,0.05632965,0.0001335869,0.00004676001,0.00006536815,0.000350766,0.00001623645,0.002304772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002121511,"threshold_uncertainty_score":0.007049322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482301026175324,"score_gpt":0.3231385418949336,"score_spread":0.1749084392774012,"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."}}