{"id":"W3211278285","doi":"10.1038/s43018-021-00271-z","title":"The next generation of DNMT inhibitors","year":2021,"lang":"en","type":"letter","venue":"Nature Cancer","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"DNA methyltransferase; Methyltransferase; DNMT1; Pharmacology; DNA; Pharmacokinetics; Chemistry; Nucleoside; Cancer research; Biochemistry; Medicine; Methylation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002645111,0.0008333943,0.001102234,0.0005225627,0.0009020014,0.002151187,0.00122468,0.01080099,0.006963944],"category_scores_gemma":[0.005796093,0.0004674586,0.0009666263,0.0003222573,0.001898306,0.003922443,0.001194841,0.01507039,0.003523743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220067,"about_ca_system_score_gemma":0.00114644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009114462,"about_ca_topic_score_gemma":0.003056507,"domain_scores_codex":[0.9989349,0.0002233513,0.00008637642,0.0001528881,0.0004290608,0.0001734153],"domain_scores_gemma":[0.9981911,0.0009732149,0.000136954,0.0000896032,0.0002590528,0.0003500541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003130731,0.0001077494,0.0002651246,0.0003129563,0.00004544779,0.0008598709,0.00005417284,0.000298757,0.002908956,0.01638773,0.8764271,0.102019],"study_design_scores_gemma":[0.0001805494,0.0001338369,0.0002089368,0.00006660892,0.00001935179,0.0004304922,0.00003361229,0.0003339335,0.001113544,0.009852717,0.9876021,0.00002435541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001831106,0.1068746,0.002570306,0.8128516,0.05951615,0.00005842846,0.0002794854,0.0002982699,0.01572015],"genre_scores_gemma":[0.02277454,0.0730497,0.003199329,0.7819538,0.07893665,0.0002692103,0.0002681955,0.000105682,0.03944287],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01080099,"threshold_uncertainty_score":0.02329671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037297098595198,"score_gpt":0.2911111101938514,"score_spread":0.2607381392078995,"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."}}