{"id":"W4405038949","doi":"10.1182/blood-2024-208740","title":"Cell-Free DNA Whole Genome Sequencing for Non-Invasive MRD Detection in Multiple Myeloma","year":2024,"lang":"en","type":"article","venue":"Blood","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of British Columbia; Queen Elizabeth II Health Sciences Centre; Dalhousie University; Health Sciences Centre; University Health Network; University of Toronto; University of New Brunswick; Princess Margaret Cancer Centre; Vancouver General Hospital; Saint John Regional Hospital; BC Cancer Agency","funders":"","keywords":"Multiple myeloma; Cell-free fetal DNA; Biology; Genome; Whole genome sequencing; DNA sequencing; DNA; Computational biology; Genetics; Cancer research; Gene; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000688827,0.0002671342,0.0002277914,0.0008394511,0.0001594152,0.0004275301,0.0003062848,0.0004064493,0.001066083],"category_scores_gemma":[0.0007853837,0.0001342417,0.0001586218,0.0004587017,0.0002373848,0.0001499004,0.0003471336,0.0002107912,0.0001979359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854564,"about_ca_system_score_gemma":0.0002784421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196243,"about_ca_topic_score_gemma":0.004251027,"domain_scores_codex":[0.9996301,0.0000846944,0.00002105337,0.0001214407,0.0001068239,0.00003589177],"domain_scores_gemma":[0.9997478,0.00009038999,0.00007750112,0.00002650361,0.0000357614,0.00002202091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007276642,0.00008949104,0.2438576,0.0002815084,0.0001022209,0.0002419715,0.0001606146,0.00163028,0.6213436,0.0003127257,0.0008676917,0.1303846],"study_design_scores_gemma":[0.00007396877,0.001093653,0.7104709,0.00006618805,0.0001360595,0.00293503,0.0001218633,0.00907864,0.2657106,0.0007643268,0.009516488,0.00003250381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747771,0.004597662,0.0166546,0.0001460521,0.00001782499,0.0001003627,0.002161113,0.0002784848,0.001266858],"genre_scores_gemma":[0.9660394,0.0009613773,0.03053727,0.0001399784,0.00001784762,0.00009408429,0.00143186,0.00002741892,0.0007507001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196243,"threshold_uncertainty_score":0.003902018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789997535567891,"score_gpt":0.273542996899855,"score_spread":0.2456430215441761,"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."}}