{"id":"W2552955102","doi":"10.1038/srep37223","title":"mTORC1 is Required for Brown Adipose Tissue Recruitment and Metabolic Adaptation to Cold","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; U.S. Department of Defense; Fundação de Amparo à Pesquisa do Estado de São Paulo; Réseau en Bio-Imagerie du Quebec; Diabète Québec; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Diabetes Association","keywords":"mTORC1; Brown adipose tissue; Biology; Citric acid cycle; Cell biology; Transcriptome; Carbohydrate metabolism; Mitochondrial biogenesis; Mitochondrion; Adipose tissue; Metabolism; PI3K/AKT/mTOR pathway; Endocrinology; Biochemistry; Signal transduction; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00103133,0.0001684743,0.0003601943,0.0002191971,0.000195734,0.00007773061,0.00005680908,0.00008122471,0.000187841],"category_scores_gemma":[0.000375332,0.0001144609,0.00007392426,0.0003058268,0.0001254103,0.0002005155,0.0000484905,0.00003689541,0.00008159186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004095861,"about_ca_system_score_gemma":0.0001821333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003831213,"about_ca_topic_score_gemma":0.00002153849,"domain_scores_codex":[0.9978915,0.00002531218,0.0004849789,0.0008022849,0.0004285622,0.0003674039],"domain_scores_gemma":[0.9982835,0.00004524768,0.0001951439,0.0007573856,0.0003052088,0.0004134815],"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":[0.00008087369,0.00007370105,0.0002731245,0.00003977682,0.0000726538,0.0001291107,0.002121277,5.680719e-7,0.7409086,0.00102278,0.07187012,0.1834074],"study_design_scores_gemma":[0.0004849717,0.0001148803,0.0009008914,0.00007974815,0.0001793189,0.0001504438,0.00005255594,0.000004763756,0.2883906,0.001291243,0.7082321,0.000118525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483287,0.009186362,0.01440398,0.007941935,0.01055519,0.007867793,0.00004802363,0.0002206113,0.001447409],"genre_scores_gemma":[0.8378091,0.00008425345,0.007558762,0.0006618645,0.0004084733,0.0005050052,0.00003131781,0.00004127864,0.1528999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.636362,"threshold_uncertainty_score":0.466758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07209676401618066,"score_gpt":0.3290483626119046,"score_spread":0.2569515985957239,"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."}}