{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027287,0.0003069988,0.0002242018,0.0003923609,0.0001487546,0.0004441564,0.0001626547,0.0007058026,0.004124188],"category_scores_gemma":[0.0002142793,0.0001690951,0.0001975657,0.0001920121,0.0001737548,0.0002595786,0.0002726748,0.0006110846,0.001408287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871948,"about_ca_system_score_gemma":0.00009870191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001048889,"about_ca_topic_score_gemma":0.0001649259,"domain_scores_codex":[0.9997634,0.0000433567,0.00001885105,0.00008720355,0.00003695954,0.00005028189],"domain_scores_gemma":[0.9998547,0.00004646838,0.00002460383,0.00002649052,0.00001505041,0.0000327188],"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":[0.0001056155,0.00001578126,0.0002472168,0.00001660843,0.00000200021,0.00002686644,0.00001085066,0.00001781904,0.998002,0.00005743106,0.00004759536,0.001450198],"study_design_scores_gemma":[0.00002922381,0.0002514771,0.004398869,0.000008478786,0.00001081047,0.0007284825,0.00002707982,0.001241371,0.9914784,0.0001263429,0.001695563,0.000004099788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830613,0.001721768,0.01147046,0.0002190114,0.00003806672,0.00007812511,0.0004908728,0.000173196,0.002747133],"genre_scores_gemma":[0.9810481,0.0004401845,0.01518701,0.0001538762,0.00003483632,0.00007675025,0.0005546192,0.00004116922,0.002463412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004124188,"threshold_uncertainty_score":0.01379681,"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."}}