{"id":"W4389220160","doi":"10.1182/blood-2023-182093","title":"Longitudinal Analysis of Circulating Tumor DNA (ctDNA) in Diffuse Large B-Cell Lymphoma (DLBCL) Using KAPA HyperCap Design Share Non-Hodgkin Lymphoma (KAPA HyperCap DS NHL) Next-Generation Sequencing (NGS) Panel","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Lymphoma; Minimal residual disease; Oncology; Medicine; Internal medicine; DNA sequencing; Diffuse large B-cell lymphoma; Liquid biopsy; Cancer; Biology; Gene; Leukemia; Genetics","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":[0.001169999,0.0004465871,0.0003036307,0.0007890057,0.0003027141,0.0008564611,0.0003911376,0.0003270367,0.001774422],"category_scores_gemma":[0.0009211071,0.0003916255,0.00037277,0.0005195492,0.0003596355,0.0002298637,0.0005662358,0.0005239819,0.0005590943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005208289,"about_ca_system_score_gemma":0.0005966051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676501,"about_ca_topic_score_gemma":0.002599144,"domain_scores_codex":[0.998914,0.0002539701,0.0000522781,0.0003791344,0.0003300573,0.00007055247],"domain_scores_gemma":[0.9993377,0.0001686891,0.0001176672,0.000095027,0.0001943382,0.00008656913],"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":[0.002122963,0.0004779211,0.1718408,0.0002952291,0.0003897061,0.000210021,0.0002933714,0.007401929,0.7402418,0.0005533708,0.001677118,0.07449576],"study_design_scores_gemma":[0.0001212121,0.002865879,0.2422642,0.00006927342,0.0003706771,0.001673162,0.0002027671,0.04641378,0.6933966,0.0006941365,0.01178003,0.0001482903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345414,0.0009160552,0.05237319,0.0001688534,0.00004095304,0.0004182438,0.007400544,0.0013559,0.002784768],"genre_scores_gemma":[0.9122378,0.0004767333,0.07326701,0.0004302642,0.00002381435,0.0009235397,0.009879009,0.0001332278,0.002628621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774422,"threshold_uncertainty_score":0.006187618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08343706829423285,"score_gpt":0.2657425272890398,"score_spread":0.1823054589948069,"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."}}