{"id":"W4200263554","doi":"10.1016/j.xcrm.2021.100472","title":"Stage-stratified molecular profiling of non-muscle-invasive bladder cancer enhances biological, clinical, and therapeutic insight","year":2021,"lang":"en","type":"article","venue":"Cell Reports Medicine","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Ferring Pharmaceuticals; Cancer Research UK; Yorkshire Cancer Research; Roche","keywords":"Bladder cancer; Disease; Immunotherapy; Biology; Stage (stratigraphy); Gene expression profiling; Bioinformatics; Computational biology; Immune system; Cancer; Oncology; Gene; Medicine; Gene expression; Internal medicine; Immunology; Genetics","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":[0.0003508561,0.0002356242,0.0004438114,0.00115118,0.0002304182,0.0008005488,0.0001809994,0.0003151159,0.001301119],"category_scores_gemma":[0.0006324207,0.0001359239,0.0003003293,0.0009760765,0.0001509391,0.0003178801,0.0003412993,0.0003967737,0.000292408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617098,"about_ca_system_score_gemma":0.0003437851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123832,"about_ca_topic_score_gemma":0.004110144,"domain_scores_codex":[0.999792,0.00004206177,0.00001815246,0.0000517115,0.00004983325,0.00004621693],"domain_scores_gemma":[0.9996965,0.00005795645,0.0001106438,0.00004360608,0.00005406727,0.0000373228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007889059,0.000157424,0.4923075,0.0002569694,0.0002280098,0.0002275479,0.0002697438,0.001519947,0.431866,0.0006842276,0.0009277662,0.07076605],"study_design_scores_gemma":[0.00001129387,0.0002862473,0.950038,0.00003680896,0.0001932863,0.0008147389,0.00025696,0.003354125,0.03915511,0.0008971171,0.004933925,0.00002243808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987503,0.002328321,0.005116657,0.00030427,0.00001845469,0.00006525365,0.002346869,0.0000943089,0.002222777],"genre_scores_gemma":[0.9926805,0.0009318945,0.003950022,0.0001394742,0.00002456255,0.0000393844,0.001451446,0.00002168518,0.0007609587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301119,"threshold_uncertainty_score":0.004352629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384090645608921,"score_gpt":0.3557010919683834,"score_spread":0.3018601855122942,"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."}}