{"id":"W2908453839","doi":"10.1002/path.5230","title":"Molecular profiling in muscle‐invasive bladder cancer: more than the sum of its parts","year":2019,"lang":"en","type":"review","venue":"The Journal of Pathology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Queen's University","funders":"Geochemical Society; Cancer Research Society","keywords":"Subtyping; Bladder cancer; Profiling (computer programming); Transcriptome; Gene expression profiling; Bioinformatics; Biology; Medicine; Oncology; Internal medicine; Cancer; Gene expression; Computer science; Gene","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":[0.002699312,0.0004292373,0.0008731189,0.002167493,0.000352663,0.002222576,0.0005505395,0.0008591433,0.001149438],"category_scores_gemma":[0.002185555,0.0002414426,0.0005731119,0.001681132,0.001062417,0.001507291,0.001038885,0.001262439,0.0008588372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005797137,"about_ca_system_score_gemma":0.0006488189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007510064,"about_ca_topic_score_gemma":0.001781322,"domain_scores_codex":[0.9990157,0.0004094147,0.0001079614,0.0001318834,0.0002739046,0.0000610792],"domain_scores_gemma":[0.9987946,0.0005715219,0.000218291,0.0000918917,0.0002542514,0.00006960722],"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":[0.0003267835,0.00006523402,0.04582798,0.005729885,0.0003401567,0.003071683,0.001144793,0.0009479602,0.1303136,0.009599788,0.01766103,0.7849711],"study_design_scores_gemma":[0.00003878121,0.001083695,0.180717,0.006243289,0.0009176896,0.04615494,0.003472297,0.004395804,0.08187095,0.02911146,0.6457354,0.0002586772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07647739,0.7969189,0.0838768,0.02520078,0.001840476,0.000203883,0.001314465,0.0007601464,0.01340714],"genre_scores_gemma":[0.317678,0.5548601,0.1026278,0.01102248,0.002763864,0.0001965301,0.001276093,0.0002747224,0.009300428],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002699312,"threshold_uncertainty_score":0.01427549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350403810990926,"score_gpt":0.3676798625173298,"score_spread":0.3041758244074205,"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."}}