{"id":"W2010991736","doi":"10.1016/j.ccr.2014.07.014","title":"The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma","year":2014,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":860,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"U.S. National Library of Medicine; National Institute of General Medical Sciences; National Human Genome Research Institute; National Cancer Institute; National Institutes of Health; Korea Institute of Science and Technology; Korea Institute of Science and Technology Information; National Center for Advancing Translational Sciences; Frederick National Laboratory for Cancer Research","keywords":"Somatic cell; Chromophobe cell; Renal cell carcinoma; Biology; Cancer research; Carcinoma; Genetics; Medicine; Pathology; Clear cell; Gene","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":[0.0000949905,0.0000904888,0.0001320103,0.0006107824,0.0002193722,0.0005215224,0.0001906008,0.0002430817,0.002999514],"category_scores_gemma":[0.0002933807,0.00009939915,0.00006911142,0.000460836,0.0002717719,0.0002021175,0.0002238422,0.00020778,0.0002363453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774378,"about_ca_system_score_gemma":0.0002197664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784623,"about_ca_topic_score_gemma":0.00258949,"domain_scores_codex":[0.9998857,0.000008888379,0.000004532364,0.00002704093,0.00004890343,0.00002493371],"domain_scores_gemma":[0.9999129,0.0000272966,0.00001827538,0.000007895906,0.00001440313,0.00001924138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003383967,0.00003879466,0.06659905,0.00008278158,0.00004422038,0.00267753,0.0002209379,0.001110501,0.8874938,0.005131403,0.0005690521,0.03569353],"study_design_scores_gemma":[0.00002960622,0.0002786665,0.7267295,0.00002105184,0.0001320649,0.01802257,0.0008941427,0.005273202,0.2300635,0.007763547,0.01076716,0.00002491309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925665,0.001229662,0.001424197,0.0004473439,0.000007486851,0.000006234612,0.0003702713,0.00005523958,0.003893042],"genre_scores_gemma":[0.998624,0.0003177514,0.0002266778,0.00005748204,0.00000661877,0.000001513383,0.00009006684,0.000005492802,0.0006702886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002999514,"threshold_uncertainty_score":0.01003438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004509447402218532,"score_gpt":0.2006061130523305,"score_spread":0.196096665650112,"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."}}