{"id":"W2009125186","doi":"10.1038/ncomms3333","title":"IMGT/HighV QUEST paradigm for T cell receptor IMGT clonotype diversity and next generation repertoire immunoprofiling","year":2013,"lang":"en","type":"article","venue":"Nature Communications","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Health and Medical Research Council; Medical Research Council; Office of Research and Development; Centre National de la Recherche Scientifique; Grand Équipement National De Calcul Intensif; University of New South Wales; Burnet Institute; University of Melbourne","keywords":"Repertoire; Biology; Immunogenetics; T-cell receptor; Computational biology; Genetics; Antibody Repertoire; Vaccination; Immune system; T cell; Evolutionary biology; Immunology; Gene","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002232363,0.0002347841,0.000289801,0.0001075073,0.002788364,0.00005503285,0.0009393285,0.0009068755,0.0001973402],"category_scores_gemma":[0.0001497029,0.0002179655,0.0001087025,0.0001481227,0.0004157588,0.0003105268,0.001242967,0.001078439,0.0003284031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006936731,"about_ca_system_score_gemma":0.000054404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005642711,"about_ca_topic_score_gemma":0.0001916127,"domain_scores_codex":[0.9986426,0.0002586253,0.0003344678,0.0003756737,0.00003367059,0.0003549297],"domain_scores_gemma":[0.9975806,0.0003805892,0.0003132609,0.001459577,0.0002322039,0.0000337483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003821229,0.0001936745,0.001914481,0.00001313018,0.00009397804,1.443373e-7,0.0008882562,7.334269e-7,0.9750609,0.005534243,0.01435387,0.001908374],"study_design_scores_gemma":[0.003133616,0.0004393543,0.005095287,0.00004475737,0.0002130307,0.00004631626,0.0007627354,0.0004388976,0.3978429,0.001005994,0.5901321,0.0008450276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904274,0.08388367,0.0001349987,0.007735943,0.001430191,0.001129329,0.00007459443,0.0001894541,0.001147857],"genre_scores_gemma":[0.9876655,0.004014184,0.003047301,0.000605768,0.00006845029,0.0001665951,0.001358559,0.0000249835,0.003048686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5772179,"threshold_uncertainty_score":0.9985099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221519597672962,"score_gpt":0.2511347577803216,"score_spread":0.218919561803592,"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."}}