{"id":"W4285606368","doi":"10.1016/j.urolonc.2022.06.008","title":"Accuracy of the CUETO, EORTC 2016 and EAU 2021 scoring models and risk stratification tables to predict outcomes in high–grade non-muscle-invasive urothelial bladder cancer","year":2022,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Medicine; Bladder cancer; Concordance; Cohort; Oncology; Internal medicine; Retrospective cohort study; Area under the curve; Risk stratification; Risk assessment; Cancer","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00752738,0.001194208,0.001145024,0.002852066,0.0004208004,0.002214465,0.00102213,0.001007336,0.003480023],"category_scores_gemma":[0.03137781,0.0002644362,0.001866286,0.001507608,0.0003561034,0.001158079,0.001278169,0.000788796,0.001281205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009545361,"about_ca_system_score_gemma":0.001494831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345522,"about_ca_topic_score_gemma":0.01327073,"domain_scores_codex":[0.9980769,0.0007630712,0.0002095832,0.0003134593,0.0004649682,0.0001720113],"domain_scores_gemma":[0.9878311,0.007846707,0.001313565,0.0007738451,0.001552283,0.0006825146],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002703172,0.0001323393,0.9062035,0.0002102955,0.001398997,0.00007009879,0.0001045126,0.01555472,0.0002499739,0.0006189897,0.01310574,0.05964773],"study_design_scores_gemma":[0.0004810388,0.001169743,0.7534825,0.0004808815,0.002082582,0.0006369436,0.0004633428,0.2256608,0.00109192,0.004419579,0.009812055,0.0002187058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466223,0.005639907,0.00755575,0.001589733,0.0005864874,0.0001539629,0.02824823,0.0004383118,0.009165395],"genre_scores_gemma":[0.9763491,0.0007255505,0.002847988,0.0002005993,0.0001209114,0.00008132363,0.01788176,0.00008604884,0.001706783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924726,"threshold_uncertainty_score":0.03980905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816320204084686,"score_gpt":0.3112616326000677,"score_spread":0.2830984305592208,"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."}}