{"id":"W2763670669","doi":"10.1016/j.cell.2017.09.007","title":"Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer","year":2017,"lang":"en","type":"article","venue":"Cell","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":2495,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; Universidade Estadual de Campinas; Pró-Reitoria de Pesquisa, Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Baylor College of Medicine; Leukemia and Lymphoma Society; U.S. Department of Defense; National Center for Advancing Translational Sciences; National Human Genome Research Institute; Michael and Susan Dell Foundation; AstraZeneca; Fundo de Apoio ao Ensino, à Pesquisa e Extensão, Universidade Estadual de Campinas; Mary K. Chapman Foundation; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Biology; Bladder cancer; Cancer; Computational biology; Cancer research; 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":[0.0003536401,0.0002976024,0.0003809598,0.001101922,0.0003748612,0.0007078713,0.0003796056,0.0003570705,0.001514471],"category_scores_gemma":[0.0002650746,0.00016234,0.0003479656,0.0009270038,0.0002058268,0.0004411074,0.0004167833,0.0005645112,0.0004317169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484868,"about_ca_system_score_gemma":0.0006243792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453571,"about_ca_topic_score_gemma":0.003524728,"domain_scores_codex":[0.9997914,0.00001837326,0.00001614931,0.0000452188,0.00008619166,0.00004276974],"domain_scores_gemma":[0.999868,0.00001758293,0.00003276073,0.0000191951,0.00004258452,0.00001987215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000153082,0.00006300654,0.01037005,0.000377636,0.00009210925,0.0001279902,0.0001068338,0.0003120239,0.9588112,0.0006174132,0.0007826581,0.02818605],"study_design_scores_gemma":[0.0000388158,0.0007092924,0.281871,0.000169078,0.0005947365,0.00292749,0.0007823586,0.004215385,0.6245213,0.001131639,0.08300367,0.0000353552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477192,0.02813439,0.01006903,0.0007190069,0.0000716447,0.0001440336,0.0053657,0.0001909935,0.007586167],"genre_scores_gemma":[0.9654914,0.01194346,0.007780116,0.0004047854,0.00004298157,0.0001193794,0.00874379,0.00004225903,0.00543188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001514471,"threshold_uncertainty_score":0.005066395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539257569863974,"score_gpt":0.2933327346288253,"score_spread":0.2679401589301856,"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."}}