{"id":"W3118088258","doi":"10.3324/haematol.2020.271619","title":"Epigenetic changes in human model KMT2A leukemias highlight early events during leukemogenesis","year":2020,"lang":"en","type":"article","venue":"Haematologica","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; Université de Montréal; Université Laval; Centre hospitalier de l'Université Laval; Hôpital de l'Enfant-Jésus; Institute for Research in Immunology and Cancer","funders":"Université de Montréal; CHU Sainte-Justine Foundation; Molson Foundation","keywords":"Biology; Epigenetics; Epigenome; Genetics; Cancer research; DNA methylation; Chromatin; Regulation of gene expression; Epigenomics; Transcription factor; Demethylase; Histone; Gene expression; 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":[0.00008982363,0.0001438234,0.0001808402,0.000224248,0.0001458246,0.0002007701,0.00008530102,0.0001908343,0.001441426],"category_scores_gemma":[0.00007649815,0.000089849,0.0001977714,0.0002401022,0.0001140456,0.00006123682,0.0001552834,0.0002496966,0.0003350989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185527,"about_ca_system_score_gemma":0.0001006722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012051,"about_ca_topic_score_gemma":0.001541051,"domain_scores_codex":[0.9999299,0.000007157706,0.000005472449,0.00002285489,0.00002257034,0.00001204501],"domain_scores_gemma":[0.9999671,0.000006319666,0.000009102419,0.000005940486,0.000004752026,0.000006817579],"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":[0.0001787982,0.00002446985,0.001105629,0.00002923838,0.00000887843,0.00007935235,0.00003187087,0.000311174,0.9965762,0.00008082812,0.0001138844,0.001459661],"study_design_scores_gemma":[0.00005199999,0.0007195849,0.04513548,0.00001006485,0.0000444109,0.001237789,0.0001529918,0.004513448,0.9374008,0.0002742789,0.0104442,0.00001496819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990547,0.001081856,0.003636266,0.00006176484,0.00001432129,0.0000377638,0.003599941,0.000157379,0.0008636305],"genre_scores_gemma":[0.991303,0.0005721651,0.001960339,0.00005475475,0.000003489668,0.0000635199,0.004699769,0.00003185649,0.001311077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001441426,"threshold_uncertainty_score":0.004822016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493851507936829,"score_gpt":0.2996878199912756,"score_spread":0.2447493049119073,"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."}}