{"id":"W2155977101","doi":"10.1186/1756-8935-7-29","title":"A global assessment of cancer genomic alterations in epigenetic mechanisms","year":2014,"lang":"en","type":"article","venue":"Epigenetics & Chromatin","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Wellcome Trust; GlaxoSmithKline; Pfizer; Eli Lilly and Company","keywords":"Biology; Epigenetics; Chromatin; Histone; Chromatin remodeling; Genetics; Cancer epigenetics; Computational biology; DNA methylation; Genomics; Human genetics; Cancer; Gene; Genome; Histone methyltransferase; Gene expression","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":[0.0006886044,0.0002592447,0.0003183854,0.002219996,0.0002307123,0.0004465128,0.0001938319,0.0002263128,0.001797129],"category_scores_gemma":[0.0009814037,0.00008659324,0.0002404908,0.001343378,0.0002667954,0.0003030959,0.0006564376,0.0002579858,0.0002060581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391461,"about_ca_system_score_gemma":0.0001857613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000526895,"about_ca_topic_score_gemma":0.001087022,"domain_scores_codex":[0.999676,0.00005620715,0.00002839284,0.0001154994,0.00007683544,0.00004706861],"domain_scores_gemma":[0.9991948,0.0002760936,0.0001757991,0.0001294073,0.0001362481,0.00008766312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005876258,0.00004842392,0.5592376,0.0003664246,0.0005357497,0.0002065347,0.0001984619,0.001288286,0.3821551,0.0005267369,0.0005720045,0.05427703],"study_design_scores_gemma":[0.000006403277,0.0001991864,0.950265,0.00001386966,0.0002545101,0.0007132964,0.0001466269,0.001428236,0.04405398,0.0004514507,0.002457484,0.000009961269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816326,0.002022036,0.009266733,0.00007605169,0.000009340535,0.00005288504,0.003743258,0.0002228309,0.002974231],"genre_scores_gemma":[0.992835,0.0003977642,0.004219127,0.00005052927,0.00001081899,0.00004957728,0.001979107,0.00002928032,0.0004288124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219996,"threshold_uncertainty_score":0.006012022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008638517506818792,"score_gpt":0.306389560459762,"score_spread":0.2977510429529432,"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."}}