{"id":"W4390589932","doi":"10.1093/clinchem/hvad147","title":"Chronic Lymphocytic Leukemia IGHV Somatic Hypermutation Detection by Targeted Capture Next-Generation Sequencing","year":2024,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Spinal Cord Injury BC; Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"IGHV@; Somatic hypermutation; Sanger sequencing; Chronic lymphocytic leukemia; Biology; Computational biology; DNA sequencing; Multiplex; Genetics; Gene; Leukemia; Antibody; B cell","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007048534,0.0003152007,0.0004856964,0.00005921868,0.0001324719,0.0001749139,0.0001760435,0.0006711406,0.0004694472],"category_scores_gemma":[0.001174254,0.0002849917,0.0003026348,0.0004624117,0.0002232283,0.0002488554,0.00007132282,0.0008618623,0.0003753266],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1150981,"about_ca_system_score_gemma":0.02900057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002374275,"about_ca_topic_score_gemma":0.00001634983,"domain_scores_codex":[0.9969382,0.00009183017,0.0009619276,0.000833534,0.000642854,0.0005316858],"domain_scores_gemma":[0.9982821,0.000478132,0.0001196649,0.0005743066,0.0001572269,0.0003885884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006830404,0.00002039525,0.00004074521,0.002061671,0.0001759611,0.0003010942,0.0001064005,0.0004176714,0.9719684,0.000004902551,0.005453918,0.01938051],"study_design_scores_gemma":[0.003647611,0.0001048886,0.00001307022,0.0003170406,0.0001762896,0.0005101618,0.00008872715,0.6049804,0.3871569,0.00005058598,0.002732252,0.0002220839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871849,0.008038371,0.001587129,0.0002453572,0.000630532,0.0004335475,0.00001694812,0.0005123561,0.001350848],"genre_scores_gemma":[0.9907542,0.0002899918,0.0001665412,0.0002079778,0.002926861,0.0000802315,0.0005291972,0.00008481532,0.004960214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6045628,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07668167832355433,"score_gpt":0.3498306770265185,"score_spread":0.2731489987029642,"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."}}