{"id":"W4415304947","doi":"10.1016/j.jpurol.2025.10.009","title":"Predicting non-response to urotherapy in pediatric bowel and bladder dysfunction: A machine learning approach","year":2025,"lang":"en","type":"article","venue":"Journal of Pediatric Urology","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Identification (biology); MEDLINE; Pediatric urology; Receiver operating characteristic; Patient care","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":[0.001284505,0.0005005348,0.0008564084,0.001013602,0.0002359778,0.0008731742,0.0005165969,0.0006890758,0.001032689],"category_scores_gemma":[0.004880195,0.0001471234,0.0009439435,0.000620171,0.0001765171,0.0004240798,0.0004019201,0.001085958,0.0002065223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556082,"about_ca_system_score_gemma":0.000604055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922673,"about_ca_topic_score_gemma":0.003109103,"domain_scores_codex":[0.999438,0.0002447944,0.00006546365,0.0001094665,0.0000692633,0.0000731122],"domain_scores_gemma":[0.9966695,0.002442575,0.0004128385,0.00008174269,0.0002065381,0.0001869078],"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":[0.0008605501,0.0006046835,0.8786804,0.00007965181,0.0003311841,0.0002430634,0.00004246731,0.02460194,0.0008804422,0.000154843,0.0008354948,0.09268528],"study_design_scores_gemma":[0.00008175189,0.001253497,0.4344752,0.0001084539,0.0004354713,0.0009757924,0.0002986048,0.5583424,0.001582844,0.001234902,0.001174395,0.00003666702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831477,0.001840608,0.01219256,0.0007043699,0.00005042931,0.00004857594,0.001044897,0.0000851802,0.0008857278],"genre_scores_gemma":[0.9938526,0.000326448,0.004578325,0.00005986947,0.00005064323,0.00002255142,0.0008582177,0.000006590904,0.0002448098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002922673,"threshold_uncertainty_score":0.006793201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314600721207483,"score_gpt":0.2911599531406408,"score_spread":0.278013945928566,"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."}}