{"id":"W2785540442","doi":"10.1016/j.cmet.2018.01.004","title":"Kynurenic Acid and Gpr35 Regulate Adipose Tissue Energy Homeostasis and Inflammation","year":2018,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":289,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Genetics; Novo Nordisk Fonden; European Research Council; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Svenska Sällskapet för Medicinsk Forskning; Wenner-Gren Stiftelserna; Wellcome Trust; Stichting af Jochnick Foundation; Karolinska Institutet; Familjen Erling-Perssons Stiftelse","keywords":"Kynurenic acid; Kynurenine; Adipose tissue; Kynurenine pathway; Energy homeostasis; Endocrinology; Internal medicine; Biology; Glucose homeostasis; Inflammation; White adipose tissue; Carbohydrate metabolism; Chemistry; Receptor; Biochemistry; Medicine; Insulin resistance; Glutamate receptor; Tryptophan","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":[],"consensus_categories":[],"category_scores_codex":[0.00009145011,0.0001621445,0.000178019,0.0001219857,0.0001763731,0.00009419194,0.0001329088,0.00008635966,0.0000903952],"category_scores_gemma":[0.000106048,0.0001467389,0.0000243219,0.0002340898,0.0002680668,0.0002507506,0.00009592013,0.00007067843,0.00005185733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000502797,"about_ca_system_score_gemma":0.00001659347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062818,"about_ca_topic_score_gemma":0.00002219697,"domain_scores_codex":[0.9989219,0.00009812056,0.000167018,0.0004000366,0.0001569114,0.0002559768],"domain_scores_gemma":[0.9994688,0.00004518689,0.00008228462,0.0002470721,0.0000291524,0.0001275161],"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":[0.00001999714,0.00001274799,0.000006626657,0.000012608,0.000002717146,0.000003315041,0.000450913,2.85263e-7,0.8342913,0.00454649,0.0004371206,0.1602159],"study_design_scores_gemma":[0.0005281787,0.00003623316,0.002876963,0.00000522964,0.00001660344,0.00001059925,0.00003389481,0.00007463955,0.8405906,0.002972182,0.1526985,0.0001564453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883044,0.006883018,0.0002158892,0.0004267037,0.0003737831,0.0001174141,0.000008886626,0.00008690129,0.003582965],"genre_scores_gemma":[0.99577,0.001755886,0.0002993185,0.0004611368,0.000285556,0.000009208215,0.000002498393,0.00002187702,0.001394552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600595,"threshold_uncertainty_score":0.5983837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175790207761484,"score_gpt":0.2270526196710643,"score_spread":0.2152947175934495,"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."}}