{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001575865,0.0004106297,0.0004309218,0.0003295047,0.000459033,0.0007297102,0.0002739169,0.0003651931,0.001481762],"category_scores_gemma":[0.0002078928,0.0003090188,0.0003153434,0.0002012625,0.0004779586,0.0002762364,0.0004933364,0.0005845184,0.0008533802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004315083,"about_ca_system_score_gemma":0.0004783415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009684514,"about_ca_topic_score_gemma":0.001522022,"domain_scores_codex":[0.9997702,0.00002295131,0.00002510675,0.00007130521,0.00006445988,0.00004595244],"domain_scores_gemma":[0.999808,0.00001448476,0.00006744077,0.00001506441,0.00002674253,0.00006836138],"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":[0.0003941866,0.00002351419,0.001220715,0.0001116071,0.00001846859,0.0001458534,0.00002951286,0.0001679744,0.9934762,0.0004722281,0.0004396526,0.003500127],"study_design_scores_gemma":[0.00005357613,0.0002817523,0.11137,0.00006868967,0.00008685076,0.001731409,0.0001546264,0.002699415,0.8614007,0.0006662017,0.02144978,0.00003700805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707264,0.01328985,0.006766239,0.0007487437,0.0002336156,0.00003805394,0.002035591,0.0004267395,0.005734688],"genre_scores_gemma":[0.9873381,0.003576776,0.002638519,0.0001557433,0.00007200834,0.00004573934,0.00187803,0.0001135559,0.004181545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001481762,"threshold_uncertainty_score":0.00495702,"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."}}