{"id":"W4292791021","doi":"10.1111/ijlh.13949","title":"T‐cell clonality testing for the diagnosis of T‐cell large granular lymphocytic leukemia: Are we identifying pathology or incidental clones?","year":2022,"lang":"en","type":"article","venue":"International Journal of Laboratory Hematology","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Lymphoproliferative disorders; Leukemia; Population; Medicine; T cell; Immunology; Monoclonal; Pathology; T-cell receptor; clone (Java method); Chronic lymphocytic leukemia; Lymphoma; Biology; Monoclonal antibody; Genetics; Antibody","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":[0.001950814,0.0002633196,0.0003261571,0.001492201,0.0004868321,0.0009593817,0.0007866863,0.0006183388,0.001860523],"category_scores_gemma":[0.01060993,0.0003145,0.0002269739,0.001049911,0.0008105955,0.00140941,0.00048474,0.0005675856,0.0004332801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240513,"about_ca_system_score_gemma":0.0004764943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182963,"about_ca_topic_score_gemma":0.002490373,"domain_scores_codex":[0.9989813,0.000200559,0.0001875099,0.0001919587,0.0003017525,0.000136823],"domain_scores_gemma":[0.993778,0.002228385,0.002489202,0.0004365327,0.0006203416,0.0004475522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000469238,0.00002456565,0.9939931,0.00001189281,0.000006474487,0.001391962,0.00006755133,0.00002901069,0.0005597784,0.00002336971,0.0001268528,0.003718402],"study_design_scores_gemma":[0.000016904,0.0003905515,0.9416419,0.0001679516,0.00006349847,0.05228671,0.001076223,0.001355495,0.001683878,0.0001719702,0.001127017,0.0000179307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979118,0.0007463239,0.0003686009,0.000195637,0.00001663418,0.00001964277,0.00009347551,0.00001270407,0.0006352368],"genre_scores_gemma":[0.9990687,0.0003567625,0.0003048197,0.0001036313,0.00003586337,0.000006096112,0.00006819133,0.000004510623,0.00005143597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001950814,"threshold_uncertainty_score":0.01031703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05764393398470906,"score_gpt":0.357991480511525,"score_spread":0.3003475465268159,"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."}}