{"id":"W4292111508","doi":"10.1016/j.cmet.2022.07.012","title":"Carbon source availability drives nutrient utilization in CD8+ T cells","year":2022,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":159,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute; Paul G. Allen Frontiers Group; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Fonds de Recherche du Québec - Santé; Van Andel Research Institute; Division of Cancer Prevention, National Cancer Institute; Howard Hughes Medical Institute","keywords":"Biology; Citric acid cycle; Cell biology; Effector; CD8; Carbohydrate metabolism; Metabolism; Biochemistry; Immunology; Immune system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003707783,0.0001609568,0.0002451696,0.0002111311,0.0002309493,0.00001252288,0.0001809071,0.0001057383,0.005569979],"category_scores_gemma":[0.00003021574,0.0001687796,0.00009442102,0.0003026325,0.00007067567,0.00007970846,0.0001566354,0.000520188,0.0003215529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048024,"about_ca_system_score_gemma":0.00004482667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395594,"about_ca_topic_score_gemma":0.000006553176,"domain_scores_codex":[0.9983541,0.0005716528,0.0003637588,0.0003583094,0.00006033244,0.0002918779],"domain_scores_gemma":[0.9994043,0.00006502125,0.0001441537,0.0003243891,0.00004466947,0.00001748325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894538,0.0005143485,0.0008198193,0.0000137333,0.00001873491,0.000001839863,0.00170837,0.0003434846,0.988996,0.0002514689,0.005905973,0.001236726],"study_design_scores_gemma":[0.0008356957,0.0000446222,0.001883299,0.000002125296,0.00001880395,0.000006891426,0.001103204,0.0001009611,0.4160571,0.00004660562,0.5797746,0.0001261469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724528,0.006443595,0.0002044718,0.00008382246,0.00975552,0.0003373737,0.000005117428,0.00009264709,0.01062472],"genre_scores_gemma":[0.9550467,0.000128777,0.00001302941,0.0001896177,0.00003481945,0.0000761638,0.0001153193,0.00001927831,0.04437627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5738686,"threshold_uncertainty_score":0.995339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338288904537067,"score_gpt":0.2182750963194934,"score_spread":0.2048922072741228,"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."}}