{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001873345,0.0003077107,0.0006680602,0.001593219,0.0001606763,0.00004602056,0.0003071227,0.0001890613,0.001182036],"category_scores_gemma":[0.00005861377,0.0002624257,0.0002848087,0.002409557,0.0002215656,0.0001651044,0.0002097779,0.0007278964,0.0004271643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901309,"about_ca_system_score_gemma":0.0004543777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007374336,"about_ca_topic_score_gemma":0.0004006053,"domain_scores_codex":[0.9955764,0.0004794079,0.0005167333,0.000678824,0.001166698,0.001581939],"domain_scores_gemma":[0.9975972,0.000193328,0.0001032857,0.0009329203,0.000306288,0.0008669437],"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":[0.0009286118,0.000433981,0.4057309,0.0002604212,0.0003696999,0.0002885854,0.001238059,0.0000506332,0.5878428,0.000003530852,0.002131932,0.0007207681],"study_design_scores_gemma":[0.003243612,0.0004382878,0.838083,0.00006251194,0.0005338338,0.00001167726,0.0005323061,0.0001848397,0.1492072,0.000009312049,0.007368581,0.0003247905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815607,0.008690011,0.00001921956,0.0004904114,0.00008933693,0.0009773429,0.000164839,0.00002830552,0.007979805],"genre_scores_gemma":[0.9898703,0.0002771304,0.0003088747,0.00009622628,0.0003095362,0.0003062837,0.0001927491,0.00006920261,0.008569717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4386356,"threshold_uncertainty_score":0.9999828,"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."}}