{"id":"W2061623831","doi":"10.1016/j.eururo.2011.01.004","title":"Accurate Molecular Classification of Kidney Cancer Subtypes Using MicroRNA Signature","year":2011,"lang":"en","type":"article","venue":"European Urology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":220,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; St. Michael's Hospital; York University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Chromophobe cell; Oncocytoma; Medicine; Papillary renal cell carcinomas; Clear cell renal cell carcinoma; Clear cell; Pathology; Carcinogenesis; microRNA; Renal cell carcinoma; Computational biology; Biology; Cancer; Gene; Internal medicine; Genetics","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":[0.0009271866,0.0002733091,0.0006496233,0.001299091,0.00028861,0.001138749,0.0003125392,0.0005258853,0.001083316],"category_scores_gemma":[0.001914831,0.0001999197,0.0004212292,0.0007808157,0.0001253703,0.0006045183,0.0003920323,0.000445103,0.0007162504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112372,"about_ca_system_score_gemma":0.0004827071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009152513,"about_ca_topic_score_gemma":0.001979878,"domain_scores_codex":[0.9994057,0.0001569942,0.00007362558,0.00008229263,0.0001758993,0.0001055486],"domain_scores_gemma":[0.9993671,0.0002112259,0.0001231899,0.0000684162,0.000183661,0.00004647452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001451443,0.0002165534,0.4402664,0.0002017298,0.0003029389,0.0004793389,0.000176287,0.003269367,0.1138508,0.001614574,0.005410864,0.4327597],"study_design_scores_gemma":[0.0002510129,0.0009871098,0.5537552,0.0002123921,0.001279701,0.005610446,0.0008783003,0.2239818,0.1641234,0.009203144,0.0395666,0.0001507541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391128,0.004020103,0.04576422,0.001181107,0.000208842,0.0001143933,0.001967174,0.0004614883,0.007169927],"genre_scores_gemma":[0.9723159,0.0005745256,0.02322584,0.0001936399,0.00008960759,0.00004458741,0.001592251,0.00003658556,0.001926933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001299091,"threshold_uncertainty_score":0.004903436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06107287388755651,"score_gpt":0.2810502654814854,"score_spread":0.2199773915939289,"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."}}