{"id":"W3136342625","doi":"10.1002/jha2.187","title":"DNA methylation analysis improves the prognostication of acute myeloid leukemia","year":2021,"lang":"en","type":"article","venue":"eJHaem","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute on Aging; Terry Fox Research Institute; Genome British Columbia","keywords":"DNA methylation; Epigenomics; Myeloid leukemia; Methylation; Oncology; Gene; Computational biology; Medicine; Bioinformatics; Internal medicine; Biology; Genetics; Gene expression","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":[0.0007278787,0.0004414187,0.0003757836,0.001328778,0.0001593159,0.0004889934,0.0002373063,0.0001956432,0.0009555771],"category_scores_gemma":[0.001456492,0.0001067248,0.0002792056,0.0009279139,0.0001331785,0.0004025029,0.0005203655,0.0003151015,0.0002118751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359673,"about_ca_system_score_gemma":0.0002794011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204068,"about_ca_topic_score_gemma":0.004311909,"domain_scores_codex":[0.999616,0.0001309752,0.00002736939,0.0001137782,0.00007310285,0.00003875412],"domain_scores_gemma":[0.999645,0.0001215792,0.0000979594,0.00003982977,0.00006006097,0.0000355497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001556187,0.0001661723,0.7557217,0.0001262682,0.0007442369,0.0001328923,0.0000878543,0.01753916,0.09331672,0.0004887013,0.0008841585,0.1292359],"study_design_scores_gemma":[0.00006145285,0.0005097352,0.7379972,0.00004737879,0.0007246622,0.0005018202,0.000145345,0.2128943,0.04030767,0.003200335,0.003573187,0.00003698848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802696,0.0009949808,0.01571302,0.000199607,0.00001403431,0.00003034504,0.001254476,0.0001895956,0.001334358],"genre_scores_gemma":[0.9948648,0.000155195,0.003999471,0.00001348491,0.00001036665,0.000006478645,0.000715647,0.000007898369,0.0002267965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002204068,"threshold_uncertainty_score":0.004382491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875914131948822,"score_gpt":0.3098336599191932,"score_spread":0.291074518599705,"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."}}