{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003271658,0.0006539729,0.0008303208,0.001530996,0.000280945,0.0008043533,0.0006243049,0.001138381,0.003972962],"category_scores_gemma":[0.0004106371,0.0001965358,0.000379585,0.001295407,0.0004572771,0.001062097,0.0006520734,0.001731752,0.001628567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006430341,"about_ca_system_score_gemma":0.0007837024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007017637,"about_ca_topic_score_gemma":0.001377407,"domain_scores_codex":[0.9998934,0.0000188704,0.00001113386,0.00002115907,0.00004019657,0.00001531273],"domain_scores_gemma":[0.9998755,0.00005799066,0.00001406908,0.000004681146,0.00003305598,0.00001470126],"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":[0.00008245642,0.00008936504,0.0001906336,0.01382757,0.0000649264,0.0003199948,0.00008998308,0.0005443573,0.005487042,0.01176239,0.03510131,0.93244],"study_design_scores_gemma":[0.000009121825,0.00006760802,0.0004249649,0.001397022,0.00004162512,0.001169768,0.00004199478,0.00008647535,0.000849308,0.003011817,0.9928888,0.00001152984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001404383,0.9977049,0.0001383409,0.0003986049,0.0002701655,0.000003235496,0.00001565031,0.000007914755,0.001320821],"genre_scores_gemma":[0.0008793424,0.9977156,0.0001413626,0.0001978559,0.0001668073,0.000004495806,0.00002536215,0.000001250197,0.0008679808],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003972962,"threshold_uncertainty_score":0.01329094,"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."}}