{"id":"W4403152066","doi":"10.1016/j.jpurol.2024.10.003","title":"AI-PEDURO – Artificial intelligence in pediatric urology: Protocol for a living scoping review and online repository","year":2024,"lang":"en","type":"article","venue":"Journal of Pediatric Urology","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Izaak Walton Killam Health Centre; Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Pediatric urology; Protocol (science); Urology; Medical physics; Data science; General surgery; Pathology; Alternative medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001706329,0.0003129807,0.001022147,0.001085715,0.0001210286,0.0000180941,0.0001990804,0.0004433605,0.00004376486],"category_scores_gemma":[0.001871262,0.0002568071,0.0002338346,0.0007647714,0.0001964122,0.0001801534,0.0001358921,0.00132205,0.000007292225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005033381,"about_ca_system_score_gemma":0.0009679443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002869472,"about_ca_topic_score_gemma":0.00002256161,"domain_scores_codex":[0.9967782,0.0003109629,0.001646099,0.0004961874,0.0002055833,0.0005629059],"domain_scores_gemma":[0.9966378,0.002145479,0.0005561779,0.0002028766,0.0002759486,0.0001816808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02049508,0.01312051,0.5980883,0.08974933,0.008083929,0.02528605,0.004541462,0.0002362543,0.0007115905,0.003004977,0.182167,0.0545155],"study_design_scores_gemma":[0.02263335,0.1268753,0.4434288,0.005550744,0.1896041,0.1148769,0.0005939653,0.01188028,0.0001977248,0.03541073,0.04179414,0.007154078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1339345,0.6613103,0.008338119,0.07336053,0.004007159,0.1183542,0.00003075369,0.0002746137,0.0003897991],"genre_scores_gemma":[0.4388224,0.3225774,0.009634308,0.07244394,0.07119557,0.08449917,0.00002127513,0.0004325636,0.0003733773],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.3387328,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413031708909509,"score_gpt":0.384061236436029,"score_spread":0.3399309193469339,"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."}}