{"id":"W4294358748","doi":"10.1016/j.celrep.2018.03.075","title":"The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":805,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute on Deafness and Other Communication Disorders; National Human Genome Research Institute; Invitae; Astex Pharmaceuticals; Frederick National Laboratory for Cancer Research; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Boston Scientific Corporation; Bristol-Myers Squibb; Array BioPharma","keywords":"CDKN2A; Chromophobe cell; Renal cell carcinoma; BAP1; Biology; Cancer research; PTEN; Clear cell renal cell carcinoma; Clear cell; Kidney cancer; Cancer; Pathology; Oncology; Medicine; PI3K/AKT/mTOR pathway; Genetics; Melanoma; Signal transduction","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":[0.0005927483,0.0004738952,0.001234003,0.00472213,0.0008405637,0.0008967551,0.0008625856,0.0004227907,0.004083514],"category_scores_gemma":[0.001079097,0.0002703294,0.0005603552,0.006471768,0.000199632,0.0002300731,0.0007115575,0.0006510362,0.0008171417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191844,"about_ca_system_score_gemma":0.002628597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095853,"about_ca_topic_score_gemma":0.03740116,"domain_scores_codex":[0.9994443,0.00008494752,0.00005211376,0.0001367961,0.0001996519,0.00008216319],"domain_scores_gemma":[0.9994966,0.00008176001,0.0001227904,0.00009228539,0.0001526657,0.00005392876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002097128,0.000204117,0.2230566,0.008612848,0.003295453,0.002504397,0.0007182142,0.009088289,0.1368702,0.02049708,0.3402407,0.2528149],"study_design_scores_gemma":[0.0002424454,0.00008981583,0.4816493,0.0003679955,0.0008232358,0.003993033,0.0002394048,0.005828359,0.01338354,0.005698924,0.4876121,0.00007180183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1705234,0.02159451,0.01253121,0.001699748,0.000228844,0.0004602056,0.7629114,0.001747752,0.02830289],"genre_scores_gemma":[0.3428957,0.01034939,0.02226072,0.0006021249,0.0000864047,0.001232908,0.6154289,0.0002892502,0.006854502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02095853,"threshold_uncertainty_score":0.04167312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560404037137147,"score_gpt":0.2447626946925673,"score_spread":0.2291586543211958,"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."}}