{"id":"W3101644750","doi":"10.1038/s41598-020-76933-2","title":"RNA sequencing as an alternative tool for detecting measurable residual disease in core-binding factor acute myeloid leukemia","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Research Foundation of Korea; Chonnam National University; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Princess Margaret Cancer Foundation; National Research Foundation; Leukemia and Lymphoma Society of Canada; Chonnam National University Hwasun Hospital; Leukemia and Lymphoma Society","keywords":"Minimal residual disease; Myeloid leukemia; Fusion gene; Core binding factor; IDH1; RUNX1T1; RNA; NPM1; Oncology; DNA sequencing; Leukemia; Medicine; Biology; Internal medicine; Mutation; Gene; Gene expression; Genetics; Transcription factor","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":[0.0009726069,0.0004875557,0.0003992403,0.0007332412,0.0001687905,0.0006162992,0.0003212328,0.0005136959,0.00119187],"category_scores_gemma":[0.001537296,0.0002235302,0.0003391551,0.0003520096,0.0002928533,0.0002275049,0.0002416006,0.0005726413,0.0003959364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925263,"about_ca_system_score_gemma":0.0002071431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005888341,"about_ca_topic_score_gemma":0.001035229,"domain_scores_codex":[0.9992732,0.0002016117,0.00003923351,0.0002234581,0.0002246613,0.00003787308],"domain_scores_gemma":[0.9989593,0.000503266,0.0002448037,0.00006352787,0.000186952,0.00004208958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002401122,0.00004012172,0.0101077,0.0001866981,0.0000652917,0.0000670469,0.00006875683,0.002468862,0.9643456,0.0004418374,0.0002514486,0.0217165],"study_design_scores_gemma":[0.00004973735,0.0009415221,0.05901846,0.00008211839,0.0002488832,0.0005633832,0.000165477,0.1104724,0.8188286,0.002280241,0.007277003,0.00007198801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884592,0.003363829,0.1993491,0.0003558281,0.0001664266,0.000196908,0.004408928,0.001284495,0.002415336],"genre_scores_gemma":[0.8933722,0.0007140103,0.1019964,0.000325237,0.00005417356,0.0001967283,0.001861824,0.00008537714,0.001394008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119187,"threshold_uncertainty_score":0.005143762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07513021499425002,"score_gpt":0.3364143964767726,"score_spread":0.2612841814825225,"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."}}