{"id":"W4402489994","doi":"10.1002/em.22626","title":"Epigenotoxicity: Decoding the epigenetic imprints of genotoxic agents and their implications for regulatory genetic toxicology","year":2024,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Epigenetics; Biology; Genotoxicity; Genetics; DNA methylation; Computational biology; Workgroup; Histone; Toxicogenomics; Bioinformatics; Gene; Medicine; Gene expression; Computer science; Toxicity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954858,0.0001993354,0.0001582196,0.00005580443,0.0001611302,0.00002980216,0.0001353132,0.0001372287,0.00001255151],"category_scores_gemma":[0.0000162652,0.0001579036,0.000111624,0.00004823436,0.0002324782,0.000004079265,0.0001784882,0.00004948164,0.000002132775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001919029,"about_ca_system_score_gemma":0.00002602746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004782007,"about_ca_topic_score_gemma":0.000005811587,"domain_scores_codex":[0.9989153,0.00007385912,0.0002630459,0.00046123,0.0000611888,0.0002254379],"domain_scores_gemma":[0.9994525,0.0000460038,0.00006682845,0.0003363359,0.000009078049,0.00008922555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001112185,0.00002935683,0.003724853,0.00004414246,0.00009926306,8.721478e-7,0.0001062423,0.00007394029,0.9522901,0.0001339311,0.00001353184,0.04347269],"study_design_scores_gemma":[0.0002027824,0.0002063015,0.1956901,0.000009497892,0.00007355707,0.00001475485,0.00006277444,0.0003841735,0.7952335,0.001153981,0.006779438,0.0001891743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465493,0.02689093,0.02558239,0.0002099424,0.0000814239,0.000543045,0.0001058015,0.000008844266,0.00002834496],"genre_scores_gemma":[0.9945281,0.003751208,0.001178066,0.0001648443,0.00006278259,0.0001370449,0.00005875256,0.0000421236,0.00007710439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919652,"threshold_uncertainty_score":0.643912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040820680821251,"score_gpt":0.2427893034585769,"score_spread":0.2323810966503644,"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."}}