{"id":"W2952001149","doi":"10.3389/fonc.2019.00489","title":"DNA Methylation Readers and Cancer: Mechanistic and Therapeutic Applications","year":2019,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; McGill University","keywords":"DNA methylation; Computational biology; DNA; Epigenetics; Cancer research; Cancer; Methylation; Biology; Medicine; Genetics; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666349,0.0002275554,0.0007058014,0.0001572437,0.00004746376,0.00001486413,0.0001173548,0.0006250383,0.000003938368],"category_scores_gemma":[0.00002510376,0.0002160956,0.00006963417,0.0001219012,0.00009624736,0.000001852574,0.00007665493,0.000176822,0.000001996819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009360284,"about_ca_system_score_gemma":0.0002493322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001533007,"about_ca_topic_score_gemma":0.00003196839,"domain_scores_codex":[0.9987127,0.0002138858,0.0003269803,0.0004905167,0.00006229026,0.0001935961],"domain_scores_gemma":[0.9993838,0.0000530461,0.0002280269,0.0002473539,0.00003091232,0.0000568354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000799952,0.00001698568,0.00006968935,0.001037235,0.00008744661,5.541979e-7,0.00002841791,0.000004744126,0.000298491,0.0001069125,0.0001722612,0.9981692],"study_design_scores_gemma":[0.0002336172,0.0001608612,0.00001760048,0.0001627238,0.0003254008,0.000003788542,0.00004161467,0.00005117148,0.00009249159,0.0009787248,0.9977125,0.0002195147],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004446882,0.9774628,0.02080555,0.00004170607,0.0004167806,0.0009115229,0.00004138965,0.00000592495,0.0002698496],"genre_scores_gemma":[0.0001768755,0.9958323,0.002855853,0.00004956125,0.0001510631,0.0004274635,0.0002575861,0.00003619083,0.0002131358],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9979497,"threshold_uncertainty_score":0.8812124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260328600298898,"score_gpt":0.3643142461013832,"score_spread":0.3217109600983943,"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."}}