{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003491878,0.0007580366,0.0007275732,0.002193773,0.0007822982,0.00224106,0.001355501,0.001025425,0.004386358],"category_scores_gemma":[0.002751852,0.0008028597,0.0009836756,0.001374277,0.00067203,0.001557222,0.001633308,0.001664301,0.002902388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797621,"about_ca_system_score_gemma":0.001011332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000841442,"about_ca_topic_score_gemma":0.001314824,"domain_scores_codex":[0.9981421,0.0005520746,0.000131851,0.0004313252,0.0006093869,0.0001333172],"domain_scores_gemma":[0.9982761,0.0004811541,0.0001784905,0.0005265932,0.0004220573,0.0001154787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008343769,0.000233468,0.007516984,0.0005986044,0.0001778735,0.0005285795,0.0009651819,0.01055612,0.61497,0.07025487,0.0177709,0.2755931],"study_design_scores_gemma":[0.0000780648,0.0003468264,0.006092442,0.0001813191,0.0001022233,0.001762607,0.0003280255,0.1421581,0.5582985,0.07492715,0.2155133,0.0002114693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01054109,0.0003231678,0.9752148,0.0002283356,0.00007776943,0.0001447809,0.001895966,0.006845139,0.004728814],"genre_scores_gemma":[0.03883494,0.0003366425,0.9524172,0.0003779516,0.00004072328,0.000577506,0.003914335,0.001139798,0.002360935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004386358,"threshold_uncertainty_score":0.01846707,"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."}}