{"id":"W3205076583","doi":"10.1007/s00467-021-05321-3","title":"Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves","year":2021,"lang":"en","type":"article","venue":"Pediatric Nephrology","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Renal function; Nephrology; Posterior urethral valve; Vesicoureteral reflux; Internal medicine; Proportional hazards model; Concordance; Surgery; Urinary system; Reflux","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":[0.001198553,0.0008407357,0.002236349,0.0008381672,0.0003407237,0.00003741563,0.0003568478,0.0009732305,0.0002824391],"category_scores_gemma":[0.002630321,0.0006597984,0.0005099174,0.001053322,0.0003856031,0.0002657213,0.0005923017,0.002044671,0.0001366459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341726,"about_ca_system_score_gemma":0.0009186978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008264783,"about_ca_topic_score_gemma":0.0004387292,"domain_scores_codex":[0.9937952,0.0007857711,0.001791356,0.001526764,0.0006295795,0.001471399],"domain_scores_gemma":[0.9963679,0.001544646,0.0005083293,0.0008080608,0.0003424768,0.0004285541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004750406,0.0006751237,0.9876864,0.00008657591,0.001111196,0.001454627,0.001004726,0.00007574066,0.0007471215,0.00002385897,0.001207268,0.001176984],"study_design_scores_gemma":[0.007726215,0.006983848,0.9779432,0.00001309049,0.00230987,0.001260856,0.0001621935,0.0001998,0.00002914534,0.0001754322,0.002635055,0.0005612258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664851,0.002910848,0.0001018092,0.02763018,0.000980599,0.001145805,0.0001293847,0.0004090826,0.0002071557],"genre_scores_gemma":[0.9690025,0.001883703,0.00577423,0.01950981,0.001344282,0.0003296327,0.0001693121,0.0001226365,0.001863847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009743104,"threshold_uncertainty_score":0.9995853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297701062100297,"score_gpt":0.2794190464436083,"score_spread":0.2664420358226053,"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."}}