{"id":"W4409383717","doi":"10.1186/s13039-025-00712-9","title":"Epigenomic insights and computational advances in hematologic malignancies","year":2025,"lang":"en","type":"review","venue":"Molecular Cytogenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"London Health Sciences Foundation","keywords":"Epigenomics; Human genetics; Hematologic Neoplasms; Computational biology; Medicine; Biology; Genetics; Internal medicine; Cancer; DNA methylation","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":[0.001599026,0.00105309,0.001435425,0.002106953,0.000469498,0.002627576,0.001472281,0.001542124,0.003799643],"category_scores_gemma":[0.00841618,0.0007170372,0.002421927,0.001675972,0.0007674434,0.001456871,0.001660166,0.001764395,0.0006398954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009693921,"about_ca_system_score_gemma":0.001587813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297017,"about_ca_topic_score_gemma":0.01049366,"domain_scores_codex":[0.9994128,0.0002780608,0.00004161398,0.0001286756,0.00009469696,0.00004421058],"domain_scores_gemma":[0.9976053,0.001946588,0.0001170649,0.0001234735,0.000131683,0.00007595194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001964492,0.00005841972,0.01519796,0.001036567,0.0006856006,0.0004840796,0.0001910915,0.8525115,0.001033747,0.05034208,0.00738082,0.07088172],"study_design_scores_gemma":[0.00003031073,0.00002451793,0.00168612,0.0001209955,0.0001039428,0.0001602008,0.00006114929,0.9045284,0.0003181699,0.08231479,0.01062366,0.00002765224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.08323393,0.04427985,0.8300173,0.01327888,0.0009999622,0.0001852631,0.01082048,0.003668001,0.01351628],"genre_scores_gemma":[0.6191509,0.034415,0.3194521,0.003239947,0.001431581,0.0005400841,0.01551392,0.0008414369,0.005415058],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01297017,"threshold_uncertainty_score":0.02578938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546378895743306,"score_gpt":0.3078593349620096,"score_spread":0.2923955460045765,"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."}}