{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355045,0.0004968314,0.0006601319,0.00100841,0.0001560779,0.0004750485,0.0004743421,0.0005822554,0.004388268],"category_scores_gemma":[0.0002478028,0.0001345263,0.000339455,0.0006277475,0.0002029999,0.0006855563,0.0003935375,0.001149269,0.00151107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344724,"about_ca_system_score_gemma":0.0004183952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003801925,"about_ca_topic_score_gemma":0.001104805,"domain_scores_codex":[0.9999366,0.00001016254,0.00000620176,0.00001443416,0.00002306599,0.00000944491],"domain_scores_gemma":[0.9999387,0.0000251208,0.00000942109,0.000002342198,0.00001446614,0.00001001169],"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":[0.0001074887,0.00007170725,0.0002242632,0.008807615,0.0001017313,0.0002893183,0.0000373395,0.0003655332,0.01147871,0.005157657,0.02754461,0.9458141],"study_design_scores_gemma":[0.00002504911,0.0001388705,0.0006532155,0.0007944781,0.0001015946,0.001147244,0.00002761373,0.0001265164,0.003620987,0.001821838,0.9915283,0.00001429167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006633511,0.9953942,0.0006146283,0.0005118226,0.0002495119,0.00001147842,0.00008115311,0.00002910249,0.00244463],"genre_scores_gemma":[0.003934794,0.9924588,0.0004926306,0.0004011599,0.0001457904,0.00001601631,0.0001687138,0.000005052445,0.002377163],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004388268,"threshold_uncertainty_score":0.01468021,"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."}}