{"id":"W3087177675","doi":"10.2217/epi-2020-0186","title":"EZH2 Inhibition: A Promising Strategy to Prevent Cancer Immune Editing","year":2020,"lang":"en","type":"review","venue":"Epigenomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université Laval","funders":"National Cancer Institute; Canadian Institutes of Health Research; Terry Fox Research Institute; Mitacs; Cancer Research UK","keywords":"Biology; Immune system; EZH2; Cancer; Computational biology; Cancer research; Immunology; Bioinformatics; Genetics; Epigenetics; Gene","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"],"consensus_categories":[],"category_scores_codex":[0.0002653516,0.0004183874,0.0008120946,0.0000706813,0.0001235743,0.00008506652,0.0002334075,0.0003856941,0.00003504923],"category_scores_gemma":[0.00007882058,0.0004196191,0.0003713304,0.0001849696,0.00002640346,0.000003108193,0.0002558447,0.0002556598,0.00005360586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316597,"about_ca_system_score_gemma":0.0005804509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002746946,"about_ca_topic_score_gemma":0.00003855024,"domain_scores_codex":[0.9979935,0.000126649,0.0007076725,0.000679119,0.0001425218,0.0003505043],"domain_scores_gemma":[0.9989105,0.00001556276,0.0003886807,0.0004059579,0.00008262319,0.0001966094],"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":[0.000007837539,0.0000390835,0.000001329719,0.001649261,0.0001430043,0.000008383897,0.00005985419,0.0001670534,0.006553347,0.00002468032,0.0001908738,0.9911553],"study_design_scores_gemma":[0.00008925404,0.0002123651,0.000002505161,0.00138741,0.0001877961,0.000004179601,0.00001644717,0.000007332967,0.01070361,0.00004151047,0.9869146,0.0004329996],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001106803,0.9957847,0.0008079883,0.00007212035,0.0004577643,0.001057058,0.0001660328,0.00001855936,0.0005289873],"genre_scores_gemma":[0.0004491858,0.9943737,0.000873635,0.00005496094,0.002829538,0.0002151055,0.0007244493,0.0001127453,0.0003666555],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9907223,"threshold_uncertainty_score":0.9998255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911748317839148,"score_gpt":0.33922944714484,"score_spread":0.3001119639664486,"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."}}