{"id":"W4304891567","doi":"10.3389/fruro.2022.1024662","title":"The state of artificial intelligence in pediatric urology","year":2022,"lang":"en","type":"article","venue":"Frontiers in Urology","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Izaak Walton Killam Health Centre; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Pediatric urology; Vesicoureteral reflux; Usability; Pyeloplasty; Computer science; Interpretability; Context (archaeology); MEDLINE; Urology; Medicine; Medical physics; Artificial intelligence; Hydronephrosis; General surgery; Internal medicine; Urinary system","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":[0.005448391,0.0007768084,0.001976904,0.006137338,0.0004229822,0.003531038,0.00122385,0.001951005,0.003910026],"category_scores_gemma":[0.02699346,0.0005139053,0.001813463,0.006484705,0.001235665,0.002289889,0.001138932,0.00180741,0.0005206542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872004,"about_ca_system_score_gemma":0.008222519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829566,"about_ca_topic_score_gemma":0.006214942,"domain_scores_codex":[0.9961588,0.001632063,0.0009560565,0.0003084715,0.0008413754,0.0001031783],"domain_scores_gemma":[0.9549401,0.04023828,0.002415336,0.0003715847,0.00180087,0.0002338076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001064198,0.00004042467,0.001062363,0.3189606,0.00119034,0.0001918929,0.0004075053,0.001263846,0.0001678284,0.01033284,0.01526639,0.6510095],"study_design_scores_gemma":[0.00003218007,0.0001582231,0.004631781,0.6068401,0.002738424,0.00100175,0.000456934,0.0005385829,0.0002663857,0.007963897,0.3753234,0.00004837743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009896213,0.9986167,0.0001099801,0.0005958018,0.0001174786,0.000007370808,0.00002050499,0.000002697028,0.0004304142],"genre_scores_gemma":[0.001941504,0.9970252,0.0003084075,0.0004089602,0.0002275853,0.00002023922,0.00002011145,0.000001762927,0.00004627492],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006137338,"threshold_uncertainty_score":0.02881414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238691772371918,"score_gpt":0.2527081210441078,"score_spread":0.2403212033203886,"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."}}