{"id":"W4401082267","doi":"10.1002/eji.202451190","title":"Sepsis shapes the human γδ TCR repertoire in an age‐ and pathogen‐dependent manner","year":2024,"lang":"en","type":"article","venue":"European Journal of Immunology","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medical Research Council; Walloon excellence in life sciences and biotechnology; Université de Lausanne; Medizinischen Hochschule Hannover; Fonds De La Recherche Scientifique - FNRS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Repertoire; Biology; Streptococcus pneumoniae; T-cell receptor; Sepsis; Immunology; Microbiology; Staphylococcus aureus; T cell; Bacteria; Genetics; Immune system; Antibiotics","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":[0.0001400912,0.0001577645,0.0001287698,0.0002655488,0.0001284007,0.0003540355,0.00007658237,0.0002229493,0.001810819],"category_scores_gemma":[0.0004476172,0.0001349199,0.00009414158,0.0001691743,0.0001442907,0.0002060365,0.0003285276,0.0002967228,0.0005459978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246431,"about_ca_system_score_gemma":0.0001402307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003538065,"about_ca_topic_score_gemma":0.000472546,"domain_scores_codex":[0.9998363,0.00004231401,0.000009356468,0.00002967281,0.00002537893,0.00005688952],"domain_scores_gemma":[0.9998298,0.00003253744,0.00005986104,0.00001366336,0.00002314591,0.00004103222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007857317,0.00007496867,0.2301963,0.00009044138,0.00003613843,0.0009652502,0.0008232995,0.0005012191,0.737663,0.0003277175,0.0006071093,0.02792889],"study_design_scores_gemma":[0.00002027788,0.0009017336,0.9569661,0.00005969028,0.00003752281,0.006876632,0.0008394631,0.0004194787,0.02697659,0.0002860143,0.006596026,0.00002043478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982362,0.000523378,0.0001357536,0.00002697905,0.000005469524,0.000003052333,0.0000852372,0.000005709905,0.0009781257],"genre_scores_gemma":[0.998233,0.0007546945,0.0001461623,0.00007375614,0.00001261606,0.00000551332,0.0001624454,0.000007538689,0.0006043324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810819,"threshold_uncertainty_score":0.006057799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529465416002724,"score_gpt":0.2469533205422515,"score_spread":0.2316586663822243,"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."}}