{"id":"W4415547102","doi":"10.1016/j.jpurol.2025.10.013","title":"The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative","year":2025,"lang":"en","type":"article","venue":"Journal of Pediatric Urology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Izaak Walton Killam Health Centre; Hospital for Sick Children; Public Health Ontario; SickKids Foundation; University of Toronto","funders":"","keywords":"MEDLINE; Range (aeronautics); Applications of artificial intelligence; Clinical judgment","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":[0.01290672,0.001044904,0.0009793343,0.003313443,0.0004649233,0.004088895,0.00287271,0.00240278,0.0107023],"category_scores_gemma":[0.03627529,0.0004354344,0.00186392,0.003199267,0.0006233217,0.004167546,0.001937167,0.002715874,0.00474631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722114,"about_ca_system_score_gemma":0.008995196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0292154,"about_ca_topic_score_gemma":0.03379621,"domain_scores_codex":[0.9966891,0.001103902,0.000366283,0.0002384998,0.001380911,0.0002213471],"domain_scores_gemma":[0.96655,0.01428656,0.001527172,0.001243328,0.01424292,0.002150048],"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":[0.00028179,0.0001925808,0.005997117,0.001887214,0.0002800637,0.00007734114,0.00009343146,0.003347828,0.0002865024,0.005083635,0.3874583,0.5950142],"study_design_scores_gemma":[0.0001066994,0.000251007,0.006979831,0.004664778,0.000561854,0.0003419165,0.0001414811,0.005377087,0.0008950028,0.004694444,0.9759316,0.00005422384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0212228,0.5831704,0.05113932,0.1891034,0.02971297,0.000535289,0.03483775,0.004370527,0.08590768],"genre_scores_gemma":[0.1153283,0.5212132,0.1596458,0.05347133,0.01628228,0.0008864535,0.09607133,0.001574791,0.03552645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0292154,"threshold_uncertainty_score":0.06825811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767972284622194,"score_gpt":0.4018795380434594,"score_spread":0.3041998151972374,"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."}}