{"id":"W2797783552","doi":"10.1016/j.molmet.2018.04.002","title":"mTORC1-dependent increase in oxidative metabolism in POMC neurons regulates food intake and action of leptin","year":2018,"lang":"en","type":"article","venue":"Molecular Metabolism","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Merck Sharp and Dohme; Consejo Nacional de Ciencia y Tecnología, Paraguay; LabEx BRAIN; Novo Nordisk; Consejo Nacional de Ciencia y Tecnología; Agence Nationale de la Recherche; Fondation ARC pour la Recherche sur le Cancer; Novartis Pharma; Ministry of Higher Education, Egypt; Eli Lilly and Company; AstraZeneca; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Sanofi Pasteur; Diabetes Canada; Université de Bordeaux","keywords":"mTORC1; Endocrinology; Internal medicine; P70-S6 Kinase 1; Chemistry; Proopiomelanocortin; Leptin; Biology; Signal transduction; Hypothalamus; PI3K/AKT/mTOR pathway; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033392,0.0004609125,0.0003476721,0.0002950353,0.0002041105,0.0003029749,0.0001784216,0.000312943,0.001643023],"category_scores_gemma":[0.0000775597,0.0002187147,0.0003918669,0.0001123923,0.0003379103,0.0002353889,0.0002361525,0.0008484069,0.0002378497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055341,"about_ca_system_score_gemma":0.0002342421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005716123,"about_ca_topic_score_gemma":0.001233836,"domain_scores_codex":[0.9998753,0.00001016401,0.00001149922,0.00004246953,0.00002987865,0.00003071793],"domain_scores_gemma":[0.9999052,0.000004822057,0.00003217979,0.000006952899,0.00001166204,0.00003916723],"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":[0.0002986864,0.00002160731,0.0002568097,0.00005174572,0.00000779016,0.00004406709,0.00000765623,0.00002330901,0.9984395,0.00004780446,0.0000374618,0.0007636298],"study_design_scores_gemma":[0.00005421395,0.0005188061,0.03732862,0.00002058601,0.0000377175,0.0002684478,0.00006497186,0.0006399736,0.9585878,0.0001211236,0.002347804,0.000009949723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925661,0.003583642,0.001374674,0.0001911773,0.0000885025,0.0000344395,0.0006978624,0.00008273276,0.001380775],"genre_scores_gemma":[0.9913214,0.002630261,0.001878324,0.0001078407,0.00003568719,0.00007502521,0.0006521359,0.00003245094,0.003266939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001643023,"threshold_uncertainty_score":0.005496502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116773113087995,"score_gpt":0.2620829616219865,"score_spread":0.2409152304911066,"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."}}