{"id":"W2097842049","doi":"10.1158/0008-5472.can-12-0656","title":"Multilevel Whole-Genome Analysis Reveals Candidate Biomarkers in Clear Cell Renal Cell Carcinoma","year":2012,"lang":"en","type":"article","venue":"Cancer Research","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto; St. Michael's Hospital; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Biology; CDKN2A; Clear cell renal cell carcinoma; Comparative genomic hybridization; FHIT; DNA methylation; Cancer research; Gene; Copy-number variation; Methylation; microRNA; Genetics; Gene dosage; Cancer; Copy number analysis; Genome; Renal cell carcinoma; Gene expression; Carcinogenesis; Tumor suppressor gene; Oncology; Medicine","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":[0.000225397,0.0001716408,0.0005769314,0.0007066046,0.0002221226,0.0004659611,0.0001787116,0.0002372016,0.0008788339],"category_scores_gemma":[0.0004726181,0.0001323099,0.0004745995,0.001008614,0.0001186743,0.0001679454,0.0003350961,0.0003113274,0.0002160312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957986,"about_ca_system_score_gemma":0.0002773278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664482,"about_ca_topic_score_gemma":0.002986104,"domain_scores_codex":[0.9997948,0.00002260737,0.000009971641,0.00009075841,0.00005268286,0.00002923771],"domain_scores_gemma":[0.9998292,0.00006062413,0.00004820888,0.0000195851,0.0000219439,0.00002044994],"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":[0.000957093,0.00007718909,0.3635745,0.0002762512,0.001259405,0.0003971689,0.000182809,0.002283815,0.5879791,0.0003932233,0.0009767079,0.04164265],"study_design_scores_gemma":[0.00001782689,0.0001419648,0.9747987,0.000008311897,0.0004481508,0.0003651556,0.00007586846,0.004492382,0.01714699,0.0004070939,0.002083727,0.00001380126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906957,0.002453769,0.00334742,0.000113705,0.000008583683,0.00001539027,0.002648377,0.0001290337,0.0005879123],"genre_scores_gemma":[0.9928415,0.0005398075,0.003199451,0.00007722925,0.000008693156,0.00002081364,0.002871155,0.00003386439,0.0004076593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664482,"threshold_uncertainty_score":0.003309548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08414714634864989,"score_gpt":0.3742626503062312,"score_spread":0.2901155039575813,"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."}}