{"id":"W4389740663","doi":"10.1186/s13072-023-00523-5","title":"O-GlcNAcylation: the sweet side of epigenetics","year":2023,"lang":"en","type":"review","venue":"Epigenetics & Chromatin","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep Edouard Montpetit; Centre Hospitalier Universitaire Sainte-Justine","funders":"Institute of Genetics; Canadian Institutes of Health Research; Takeda Canada","keywords":"Biology; Epigenetics; Human genetics; Evolutionary biology; Genetics; Computational biology; 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":[0.000735916,0.0005154748,0.0009980574,0.0001885529,0.0001858095,0.00006215436,0.00102543,0.0006004371,0.0001022012],"category_scores_gemma":[0.000550451,0.0003811023,0.0005971072,0.000665631,0.0002760679,0.000002370793,0.0005365676,0.0003700296,0.0003834086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972891,"about_ca_system_score_gemma":0.0006481035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113248,"about_ca_topic_score_gemma":0.00007945797,"domain_scores_codex":[0.9965505,0.000475242,0.001200607,0.0006205433,0.000636616,0.0005164685],"domain_scores_gemma":[0.9972684,0.000201108,0.0006530936,0.001482426,0.0002489693,0.0001460413],"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":[0.00001975776,0.0001480231,0.00003101216,0.0122138,0.0007878668,0.0000179134,0.0001264377,0.0002996555,0.003282765,0.0003534533,0.01059289,0.9721264],"study_design_scores_gemma":[0.0001972844,0.0002139417,0.00008616523,0.001306418,0.0001946524,0.00001521872,0.00002628066,0.00006165743,0.00373793,0.00008591226,0.9936761,0.0003984726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005956672,0.9945391,0.0004635435,0.0000758355,0.0002854204,0.001502528,0.0001943848,0.00003601089,0.002307501],"genre_scores_gemma":[0.000535641,0.9913934,0.0009373893,0.00003266352,0.0006075463,0.000221724,0.0008434899,0.0001624943,0.005265661],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9830832,"threshold_uncertainty_score":0.9998641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07898508532671156,"score_gpt":0.3803013443370297,"score_spread":0.3013162590103181,"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."}}