{"id":"W4317356542","doi":"10.1182/blood.2022018825","title":"A practical approach to curate clonal hematopoiesis of indeterminate potential in human genetic datasets","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; Impact; Queen's University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute for Occupational Safety and Health; Medical Research Council; Canadian Institutes of Health Research; National Cancer Institute; Ludwig Center at Harvard; National Institutes of Health; Alexander and Margaret Stewart Trust; Vanderbilt University Medical Center; Vanderbilt University","keywords":"Exome; Biology; Exome sequencing; Population; Genetics; Biobank; Germline; DNA microarray; Computational biology; Medicine; Mutation; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914623,0.0001309611,0.0003247971,0.0004068677,0.00004021119,0.00001575192,0.0001743215,0.0001087759,0.0000507183],"category_scores_gemma":[0.0002600391,0.0001197619,0.00005835307,0.0007536556,0.00008251478,0.00006530403,0.0002984873,0.000326882,0.0001249424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004791044,"about_ca_system_score_gemma":0.0002347434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001225319,"about_ca_topic_score_gemma":0.000009866763,"domain_scores_codex":[0.998284,0.00009306685,0.0003489666,0.0003496305,0.0005088157,0.0004155636],"domain_scores_gemma":[0.9991687,0.00006512689,0.0000574504,0.0004498416,0.00005647538,0.0002024207],"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":[0.001557477,0.01148095,0.06336752,0.003270981,0.000932597,0.01897938,0.002557749,0.0002226722,0.8000727,0.00194187,0.09134622,0.004269904],"study_design_scores_gemma":[0.02582074,0.001965785,0.7666299,0.0004779983,0.0007799679,0.003713048,0.001244075,0.009662008,0.1847614,0.0006389896,0.003362705,0.0009434465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975104,0.00001694302,0.0001671718,0.0006878321,0.0000216926,0.000517413,0.0001169791,0.00004511695,0.0009165038],"genre_scores_gemma":[0.9912934,0.00001193734,0.00785445,0.0001063348,0.00009611265,0.00007450197,0.0003228332,0.00002984207,0.0002105682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7032624,"threshold_uncertainty_score":0.4883748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406056898626023,"score_gpt":0.3607509318058176,"score_spread":0.3166903628195574,"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."}}