{"id":"W4384575937","doi":"10.4049/jimmunol.2300136","title":"Defining and Studying B Cell Receptor and TCR Interactions","year":2023,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Center for Complementary and Integrative Health; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Norges Forskningsråd; Michelson Prize and Grants; Searle Scholars Program; Kreftforeningen; Leona M. and Harry B. Helmsley Charitable Trust; Österreichischen Akademie der Wissenschaften","keywords":"Repertoire; Acquired immune system; Biology; T-cell receptor; Autoimmunity; Self Tolerance; Immune system; Antigen; Computational biology; Immunology; Computer science; T cell; Physics","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":[0.0005889595,0.0004021755,0.0004719779,0.0004651756,0.0006339324,0.001130447,0.0009087927,0.00102963,0.002271891],"category_scores_gemma":[0.0009499418,0.0004717278,0.0003428514,0.0006570616,0.0008766213,0.001772533,0.0009374357,0.001659204,0.0009004222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309191,"about_ca_system_score_gemma":0.0005287492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559806,"about_ca_topic_score_gemma":0.001525436,"domain_scores_codex":[0.9995936,0.00009724085,0.00001542758,0.00009958064,0.0001284392,0.00006579846],"domain_scores_gemma":[0.9998214,0.00008025794,0.00002703702,0.00003269163,0.00002027204,0.00001836516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001865031,0.0002780741,0.007043691,0.0009519149,0.000138963,0.0003094051,0.0004871151,0.149588,0.4912075,0.2527703,0.004766371,0.09227218],"study_design_scores_gemma":[0.00008468725,0.0003062469,0.006149963,0.0001199046,0.00008940842,0.0004379693,0.0006242365,0.562008,0.1943536,0.1722983,0.06343434,0.00009320075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4638824,0.01364692,0.480418,0.002033568,0.0002636459,0.0001193119,0.0006537495,0.0009639569,0.03801841],"genre_scores_gemma":[0.765875,0.01022182,0.2177995,0.0006579977,0.0001171237,0.0002020881,0.000615438,0.0002589765,0.004252037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002271891,"threshold_uncertainty_score":0.007600248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717373682140536,"score_gpt":0.2456047850363053,"score_spread":0.2284310482148999,"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."}}