{"id":"W2154711517","doi":"10.4049/jimmunol.1301660","title":"Cutting Edge: CD1a Tetramers and Dextramers Identify Human Lipopeptide–Specific T Cells Ex Vivo","year":2013,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; U.S. Public Health Service; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Howard Hughes Medical Institute","keywords":"T-cell receptor; Ex vivo; T cell; Recombinant DNA; Lipopeptide; Molecular biology; Cell sorting; Biology; Epitope; Cell biology; In vitro; Flow cytometry; Chemistry; Antigen; Biochemistry; Immunology; Gene; Bacteria; Immune system","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006253763,0.0002181039,0.0003744324,0.0002459224,0.0004168208,0.00005650377,0.0004054959,0.0002475653,0.005070605],"category_scores_gemma":[0.00006385944,0.0001510564,0.000148865,0.0001310719,0.00059552,0.0003902065,0.0001079603,0.00113416,0.001199267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000066829,"about_ca_system_score_gemma":0.0000315793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001931468,"about_ca_topic_score_gemma":0.000003565716,"domain_scores_codex":[0.9981059,0.0005554576,0.0007398425,0.0001528639,0.00005255477,0.0003933687],"domain_scores_gemma":[0.9984136,0.0003418998,0.0006728563,0.0002967079,0.0002483925,0.00002650409],"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":[0.0001270362,0.00006424363,0.0001688933,0.000005313869,0.0003430228,0.00000295166,0.0008867759,0.000005099388,0.9421792,0.0001046624,0.04764466,0.008468116],"study_design_scores_gemma":[0.002485717,0.001245588,0.01904755,0.0001168252,0.0001879057,0.00264898,0.0121862,0.000004018376,0.6713101,0.0003247618,0.2900674,0.0003749499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978598,0.01048247,0.0002553762,0.0006826564,0.007356544,0.0001920772,8.964086e-7,0.00002876837,0.002403229],"genre_scores_gemma":[0.9882404,0.002419143,0.00006510667,0.0003112663,0.000110278,0.000003287319,0.000004665063,0.00002584236,0.008820006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2708691,"threshold_uncertainty_score":0.9995784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228121836291264,"score_gpt":0.2408946983179846,"score_spread":0.228613479955072,"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."}}