{"id":"W7108466202","doi":"10.1182/blood-2025-495","title":"Ultra-deep whole-genome sequencing of cell-free DNA recovers most bone marrow-derived mutations in newly diagnosed multiple myeloma","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Alberta Cancer Foundation; University of Alberta; Queen Elizabeth II Health Sciences Centre; University of Toronto; University of New Brunswick; Dalhousie University; Vancouver General Hospital; Saint John Regional Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Multiple myeloma; Germline; Deep sequencing; DNA sequencing; Somatic cell; Copy number analysis; Whole genome sequencing; Structural variation; Bone marrow","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003230158,0.000231846,0.000248356,0.0003463757,0.0002111629,0.0003714382,0.000275413,0.0004466948,0.001319982],"category_scores_gemma":[0.0004883447,0.000185046,0.0001706317,0.0003089454,0.0002155571,0.0001818771,0.0004096561,0.0003111143,0.0002968911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415995,"about_ca_system_score_gemma":0.0001665425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188418,"about_ca_topic_score_gemma":0.003878549,"domain_scores_codex":[0.9997802,0.00002993456,0.00001118594,0.00009146873,0.0000523922,0.00003474862],"domain_scores_gemma":[0.9998865,0.00002861364,0.00002510421,0.00001858785,0.00002219888,0.00001892116],"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":[0.0008388463,0.00006480225,0.1184463,0.0001204148,0.0001063844,0.0001757238,0.0001957361,0.001880012,0.8394951,0.0002494394,0.0008590325,0.03756827],"study_design_scores_gemma":[0.00006003342,0.0006874509,0.71575,0.00004602659,0.0001636789,0.001615503,0.0002719255,0.009820485,0.2622524,0.0009886561,0.008318949,0.00002491141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890049,0.000807524,0.007860288,0.00008271753,0.0000110909,0.00002129451,0.001214576,0.0001187448,0.0008787678],"genre_scores_gemma":[0.9905418,0.0002260709,0.006407352,0.0001841422,0.00001074273,0.0000310142,0.001604382,0.0000269867,0.0009675547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00188418,"threshold_uncertainty_score":0.004415751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673028332849763,"score_gpt":0.260427158636545,"score_spread":0.2436968753080473,"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."}}