{"id":"W4414459627","doi":"10.1182/blood.2025028954","title":"CEBPA repression by MECOM blocks differentiation to drive aggressive leukemias","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Edward P. Evans Foundation; Dana-Farber Cancer Institute; Alex's Lemonade Stand Foundation for Childhood Cancer; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"CEBPA; Psychological repression; Transcription factor; Myeloid leukemia; Stem cell; Myeloid; Leukemia; Regulator; Regulation of gene expression; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005345677,0.000110828,0.00009518515,0.00004792172,0.00008478306,0.00002493225,0.0001402972,0.0001342275,0.00003465717],"category_scores_gemma":[0.0001779641,0.0001019425,0.00005430212,0.00009501402,0.00001807383,0.000003000853,0.0001322443,0.00006588411,0.00001219307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001208696,"about_ca_system_score_gemma":0.00004471212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001268757,"about_ca_topic_score_gemma":0.000008916924,"domain_scores_codex":[0.9992471,0.00004267619,0.0001581607,0.0003189217,0.00009152976,0.0001416025],"domain_scores_gemma":[0.9994674,0.000007055776,0.00009378528,0.0003047561,0.00006372813,0.00006329054],"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":[0.00002531424,0.0001240847,0.001952093,0.000006350263,0.00004668689,0.000001204057,0.00002462213,0.00000434895,0.8990356,0.00005443778,0.09641122,0.002314034],"study_design_scores_gemma":[0.0008537974,0.00008328152,0.0012485,0.00005012155,0.00002818182,0.000001790091,0.00002017961,0.00001454493,0.9589037,0.00006979938,0.03861216,0.0001139933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916564,0.0007470073,0.003016849,0.0004780027,0.0002199603,0.000257856,0.00002239677,0.00002374683,0.003577809],"genre_scores_gemma":[0.9922752,0.00006779138,0.0002709316,0.0005564232,0.0001059148,0.0000527988,0.0002514285,0.000009363303,0.006410167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05986805,"threshold_uncertainty_score":0.4157095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003332563265496075,"score_gpt":0.231285927842674,"score_spread":0.227953364577178,"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."}}