{"id":"W2747878830","doi":"10.1182/blood.v128.22.1046.1046","title":"Divergent Epigenomes in Pediatric and Adult Acute Myeloid Leukemia Implicate Cell of Origin and Transcriptional Silencing of Immune Responses As Sources of Clinically Relevant Heterogeneity: A Report from the Children's Oncology Group and NCI/COG Therapeutically Applicable Research to Generate Effective Treatments (TARGET) Initiative","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"DNA methylation; Myeloid leukemia; Biology; Methylation; RUNX1; Decitabine; Leukemia; Cancer research; Oncology; Cancer; Myeloid; Internal medicine; Bioinformatics; Medicine; Stem cell; Genetics; Haematopoiesis; DNA; Gene; Gene expression","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":[0.0004528741,0.0001395868,0.0001738681,0.0004739726,0.0001959843,0.0003416419,0.0001974533,0.0001545529,0.0006269714],"category_scores_gemma":[0.0005934358,0.0000767894,0.00011002,0.0005569004,0.000306112,0.0001733156,0.0002699654,0.000235359,0.0000992706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820626,"about_ca_system_score_gemma":0.000182624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161805,"about_ca_topic_score_gemma":0.001708416,"domain_scores_codex":[0.9998375,0.00003455556,0.00001273106,0.0000449702,0.00003906423,0.00003110062],"domain_scores_gemma":[0.9996394,0.0001385841,0.000095491,0.00002872187,0.00006100145,0.00003681088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001381373,0.00004070754,0.8706061,0.0001358626,0.0001145037,0.001811309,0.001467436,0.000310721,0.04796531,0.0007122273,0.001251342,0.07420319],"study_design_scores_gemma":[0.00002038711,0.0001893024,0.9760566,0.00001394168,0.00008365301,0.006614502,0.0005475995,0.0002435813,0.008018422,0.0001757208,0.008027301,0.000008972488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917592,0.005495805,0.001065683,0.0001530405,0.000007367594,0.00001349822,0.0005311155,0.00001593171,0.0009582962],"genre_scores_gemma":[0.9957154,0.002408126,0.0006453462,0.0001151034,0.00002587093,0.000008963737,0.0008492638,0.000008774097,0.0002230183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002161805,"threshold_uncertainty_score":0.004298449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230629537192327,"score_gpt":0.3430110246948542,"score_spread":0.310704729322931,"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."}}