{"id":"W2977716298","doi":"10.1016/j.molmet.2019.09.014","title":"The Hepatokine TSK does not affect brown fat thermogenic capacity, body weight gain, and glucose homeostasis","year":2019,"lang":"en","type":"article","venue":"Molecular Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Alberta; Centre hospitalier universitaire de Québec; Université Laval; Institut Universitaire de Cardiologie et de Pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Faculté de Médecine, Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Diabète Québec; Merck Sharp and Dohme; Réseau en Bio-Imagerie du Quebec; Université Laval","keywords":"Glucose homeostasis; Thermogenesis; Autocrine signalling; Endocrinology; Biology; Homeostasis; Brown adipose tissue; Internal medicine; Energy homeostasis; Paracrine signalling; Adipose tissue; Obesity; Insulin resistance; Medicine; Biochemistry; Receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005862159,0.000495575,0.0008730879,0.0001722233,0.0002456141,0.0001017413,0.0003162854,0.000191778,0.000226104],"category_scores_gemma":[0.0001882301,0.00028256,0.0003575139,0.0003416876,0.0002442033,0.0001430025,0.0002230624,0.0004787403,0.0002740951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002869825,"about_ca_system_score_gemma":0.00006545369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688335,"about_ca_topic_score_gemma":0.0000176106,"domain_scores_codex":[0.9971371,0.0002943111,0.0004342089,0.0006768539,0.0007021517,0.0007553509],"domain_scores_gemma":[0.9979302,0.0001512314,0.0001685224,0.001209518,0.0001679274,0.0003726494],"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":[0.0002452481,0.0001147403,0.00170404,0.00008702235,0.000676805,0.000160325,0.0005074652,7.186551e-7,0.9500643,0.01305808,0.0004201043,0.03296113],"study_design_scores_gemma":[0.002837978,0.00009082372,0.03159927,0.00004965075,0.001092423,0.0001515352,0.00005729159,0.00008606623,0.6585127,0.0009131252,0.3041815,0.0004276992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9134601,0.0804854,0.0001860902,0.001973658,0.00096192,0.001123586,0.0000435081,0.0001178801,0.001647794],"genre_scores_gemma":[0.9859083,0.007725227,0.0004666145,0.002427041,0.0005048494,0.0000633765,0.00002763689,0.0001124116,0.002764569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3037614,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009095762443371064,"score_gpt":0.2390106604691984,"score_spread":0.2299148980258273,"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."}}