{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006413,0.0002214752,0.0007412155,0.0004034071,0.0002520911,0.00002896039,0.0009432409,0.0001439063,0.0003875635],"category_scores_gemma":[0.00189635,0.0001644125,0.0002901625,0.0005087534,0.0002469381,0.0001604746,0.0005251772,0.0006527781,0.00000644975],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01380436,"about_ca_system_score_gemma":0.01508603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820816,"about_ca_topic_score_gemma":0.00003396571,"domain_scores_codex":[0.9963368,0.0003778921,0.001268429,0.0003048385,0.00127508,0.00043703],"domain_scores_gemma":[0.9927597,0.003219319,0.00152192,0.0003408212,0.002005713,0.0001525313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02504141,0.005234296,0.7073076,0.005874084,0.003558422,0.088671,0.007199175,0.005892401,0.07150707,0.008267359,0.06968049,0.001766744],"study_design_scores_gemma":[0.2188591,0.007366083,0.0222171,0.00232601,0.002911468,0.1658244,0.03630514,0.04145951,0.4144771,0.00603341,0.08041725,0.001803449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872391,0.007542222,0.001391163,0.001272584,0.00168551,0.0004830336,0.0003172697,0.00002067463,0.0000484153],"genre_scores_gemma":[0.9968686,0.0004074063,0.001200035,0.0008605389,0.0003494361,0.0001408987,0.00002175671,0.00004478467,0.0001066189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6850905,"threshold_uncertainty_score":0.9904975,"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."}}