{"id":"W1872552157","doi":"10.5489/cuaj.1204","title":"Personalized medicine in advanced urothelial cancer: when to treat, how to treat and who to treat","year":2013,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Urothelial carcinoma; Bladder cancer; Medicine; Urothelial cancer; Cancer; Profiling (computer programming); Precision medicine; Personalized medicine; Bioinformatics; Internal medicine; Pathology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002817126,0.0004994079,0.001832842,0.001012734,0.0009712295,0.003003271,0.0007339547,0.002105197,0.005625934],"category_scores_gemma":[0.005082597,0.0002182056,0.0008455137,0.001230358,0.001838047,0.002986735,0.001376726,0.005111093,0.001668044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201292,"about_ca_system_score_gemma":0.003483813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844327,"about_ca_topic_score_gemma":0.008685305,"domain_scores_codex":[0.9986026,0.0007615424,0.0001129064,0.0001281654,0.0002935999,0.0001013773],"domain_scores_gemma":[0.9982274,0.0009903697,0.0001659419,0.00008355636,0.0003244933,0.0002083077],"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":[0.0002382536,0.0001451971,0.003657628,0.004461386,0.0002611924,0.0004892909,0.0005999187,0.0009666397,0.001576378,0.02518124,0.199044,0.7633789],"study_design_scores_gemma":[0.000116032,0.0002580332,0.008257683,0.01195512,0.0003988477,0.001800993,0.002133883,0.0008922648,0.001110476,0.09979391,0.8731419,0.0001408698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002602702,0.5750799,0.006378041,0.4007998,0.003521345,0.00006867082,0.0004241564,0.0001182526,0.01100711],"genre_scores_gemma":[0.05523094,0.8447567,0.01907063,0.06705738,0.007134724,0.0001466936,0.0005050917,0.00007249633,0.006025411],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005625934,"threshold_uncertainty_score":0.01882064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442692556462375,"score_gpt":0.2610281459738225,"score_spread":0.2466012204091987,"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."}}