{"id":"W4368617865","doi":"10.1182/bloodadvances.2023009675","title":"Interaction between myelodysplasia-related gene mutations and ontogeny in acute myeloid leukemia","year":2023,"lang":"en","type":"article","venue":"Blood Advances","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Loxo Oncology; Genentech; National Institutes of Health; Astellas Pharma; Daiichi-Sankyo; Foundation Medicine; Sierra Oncology; Galecto; Pfizer; Incyte; Syndax Pharmaceuticals; Cycle for Survival; Constellation Pharmaceuticals; Ipsen; Jazz Pharmaceuticals; National Heart, Lung, and Blood Institute; Edward P. Evans Foundation; Daiichi Sankyo Europe; National Cancer Institute; Foghorn Therapeutics; Servier; Gilead Sciences; Sanofi; Memorial Sloan-Kettering Cancer Center; Alex's Lemonade Stand Foundation for Childhood Cancer; GlaxoSmithKline; MorphoSys; Ipsen Biopharmaceuticals; Celgene; AstraZeneca; Amgen; Damon Runyon Cancer Research Foundation","keywords":"Myeloid leukemia; Ontogeny; Myelodysplastic syndromes; Gene mutation; Internal medicine; Oncology; Leukemia; Biology; Myeloid; Cancer; Gene; Medicine; Mutation; Genetics; Bone marrow","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001280074,0.0001957389,0.0001960248,0.001177279,0.0003778923,0.0007251875,0.0002683784,0.0002482424,0.001056203],"category_scores_gemma":[0.00439224,0.0001319658,0.0002947219,0.001013505,0.0002750113,0.0005707026,0.0007407897,0.0003698797,0.0001964578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956384,"about_ca_system_score_gemma":0.0003749686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691291,"about_ca_topic_score_gemma":0.002659779,"domain_scores_codex":[0.9991247,0.0004540089,0.00008805638,0.0001506367,0.0001096968,0.00007294388],"domain_scores_gemma":[0.9973478,0.0009548062,0.0009759734,0.0003069631,0.0002222411,0.0001922221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312004,0.00001153422,0.9933122,0.00001084919,0.00003542868,0.00008928165,0.00005896471,0.000157467,0.0007747631,0.00006628101,0.00007019536,0.005281824],"study_design_scores_gemma":[0.000002180682,0.00002594157,0.9978307,0.000005795847,0.00002925121,0.0002480486,0.00008982492,0.000884189,0.0002557637,0.000202226,0.0004221743,0.000003973774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998321,0.0005038166,0.0004589556,0.00006232134,0.000005346764,0.000006491066,0.0002102617,0.000004972741,0.000426834],"genre_scores_gemma":[0.9989831,0.0001703644,0.0004021944,0.00001254997,0.000006935969,0.000004257031,0.0002899886,0.000005034065,0.0001256559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001691291,"threshold_uncertainty_score":0.006769717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895802720624469,"score_gpt":0.3192705675811235,"score_spread":0.3003125403748789,"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."}}