{"id":"W2050256434","doi":"10.1371/journal.pmed.0040284","title":"Optimal Management of High-Risk T1G3 Bladder Cancer: A Decision Analysis","year":2007,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Cystectomy; Bladder cancer; Medicine; Life expectancy; Comorbidity; Quality of life (healthcare); Decision analysis; Surgery; Intensive care medicine; Urology; Cancer; Internal medicine; Population; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01253448,0.001438313,0.001913718,0.001832958,0.0005807182,0.002204562,0.001339844,0.001645658,0.003631427],"category_scores_gemma":[0.02434839,0.0009589768,0.002821873,0.001084142,0.0009934442,0.001292467,0.001388583,0.001933343,0.0001736908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006009301,"about_ca_system_score_gemma":0.005377506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009381482,"about_ca_topic_score_gemma":0.005030537,"domain_scores_codex":[0.9921049,0.006513176,0.0001594042,0.0004461541,0.0003653275,0.0004110311],"domain_scores_gemma":[0.959335,0.03798473,0.001399375,0.0001890472,0.0005808605,0.0005110807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004255317,0.00009353078,0.002852375,0.000172097,0.0002987609,0.00006970152,0.00004230612,0.9876418,0.00009767032,0.003103692,0.0002828024,0.004919676],"study_design_scores_gemma":[0.0001373103,0.0003751288,0.001537253,0.0001099587,0.0002686093,0.00005644517,0.00006386481,0.9857884,0.0001608047,0.01103686,0.0004409388,0.00002437471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7697911,0.005403181,0.2056072,0.005344858,0.0001107801,0.001437362,0.00198396,0.000132795,0.01018868],"genre_scores_gemma":[0.9749879,0.0009484476,0.02235404,0.0002597008,0.00004452586,0.0004054302,0.0003413858,0.00001475897,0.0006437829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253448,"threshold_uncertainty_score":0.06628948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925124191386511,"score_gpt":0.3129487628133887,"score_spread":0.2936975208995236,"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."}}