{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834401,0.0001999404,0.000373138,0.0005498898,0.00011779,0.00003187766,0.0001202161,0.0001420971,0.00005611729],"category_scores_gemma":[0.0001983565,0.0001847212,0.00006060551,0.001142904,0.0001326872,0.000422651,0.0001068878,0.0005048253,0.0002218633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295265,"about_ca_system_score_gemma":0.0002676315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001121358,"about_ca_topic_score_gemma":0.0001082526,"domain_scores_codex":[0.9983015,0.00006716701,0.0004109157,0.0004393233,0.0003245131,0.0004565507],"domain_scores_gemma":[0.9990945,0.000291786,0.00009410253,0.0002507118,0.00007877617,0.0001901485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005057428,0.0002561571,0.5905269,0.0003788468,0.001453242,0.002501274,0.003584213,0.0006895398,0.2157836,0.0003535306,0.00116379,0.1828032],"study_design_scores_gemma":[0.009391559,0.0007879653,0.8778613,0.0003690329,0.0007069606,0.0007056704,0.001756104,0.002105289,0.08842963,0.001733069,0.01558892,0.0005644789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950355,0.0008507108,0.00003254967,0.001197764,0.0001313296,0.0004889512,0.00003828385,0.0002309878,0.001993965],"genre_scores_gemma":[0.9924092,0.002874502,0.001417504,0.00008394245,0.0001667252,0.00008849676,0.0003590997,0.00004383243,0.002556703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873344,"threshold_uncertainty_score":0.7532712,"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."}}