{"id":"W2905102064","doi":"10.1101/488460","title":"The consensus molecular classification of muscle-invasive bladder cancer","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University Health Network; Canada's Michael Smith Genome Sciences Centre; University of Toronto; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; Cancerfonden","keywords":"Bladder cancer; Stromal cell; Disease; Transcriptome; Biology; Computational biology; Bioinformatics; Clinical trial; Medicine; Cancer; Pathology; Internal medicine; Gene; Gene expression; 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":[0.005159948,0.0006065166,0.00107578,0.00444688,0.001085654,0.00290828,0.001483863,0.0009410394,0.002514899],"category_scores_gemma":[0.01237445,0.0002412314,0.0009982241,0.003115263,0.0006465865,0.001199179,0.001872178,0.00136815,0.001190134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713151,"about_ca_system_score_gemma":0.002417588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003476896,"about_ca_topic_score_gemma":0.003979166,"domain_scores_codex":[0.9965886,0.0008489748,0.0004229021,0.000788569,0.001040307,0.0003105837],"domain_scores_gemma":[0.9933916,0.001457562,0.001182095,0.0007015135,0.00283075,0.0004364914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002000917,0.000308605,0.4295528,0.003806465,0.001962619,0.0005633581,0.001825082,0.01878032,0.08997056,0.02941029,0.06127007,0.360549],"study_design_scores_gemma":[0.0003575726,0.000961621,0.5388478,0.002383087,0.002543706,0.00271542,0.004393582,0.1271486,0.0441306,0.1111157,0.1650948,0.0003074956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7367899,0.0182775,0.1774426,0.006681354,0.001119716,0.0009660879,0.03278915,0.001686584,0.02424715],"genre_scores_gemma":[0.8615989,0.003471665,0.09990804,0.001034351,0.0002040708,0.0006164152,0.03119406,0.0002747847,0.001697731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005159948,"threshold_uncertainty_score":0.02728873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447907913308759,"score_gpt":0.2716072786808798,"score_spread":0.2471281995477922,"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."}}