{"id":"W3112422127","doi":"10.1016/j.cmet.2020.11.011","title":"The Nuclear Receptor ESRRA Protects from Kidney Disease by Coupling Metabolism and Differentiation","year":2020,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; European Regional Development Fund; Horizon 2020; European Research Council; Horizon 2020 Framework Programme; National Institutes of Health; Ministry of Science, ICT and Future Planning; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Diabetes Research Connection; Bayer Fund; University of Pennsylvania; American Heart Association; Merck; GlaxoSmithKline; McGill University; Deutsche Forschungsgemeinschaft; Eli Lilly and Company; Gilead Sciences; Ministry of Science ICT and Future Planning; National Research Foundation of Korea; National Institute of Diabetes and Digestive and Kidney Diseases; Instituto de Salud Carlos III; Boehringer Ingelheim","keywords":"Biology; Nuclear receptor; Kidney; Cell biology; Cell type; Cell; Receptor; Cellular differentiation; Cancer research; Endocrinology; Biochemistry; Gene; Transcription factor","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":[0.00005486757,0.0001658299,0.0001488036,0.000009081411,0.0002195491,0.00007919086,0.0001739608,0.0001170915,0.00003542256],"category_scores_gemma":[0.00008586277,0.0001123949,0.00008103339,0.0000646258,0.00008014732,0.000006304218,0.00009767518,0.0001571755,0.00002411937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003979619,"about_ca_system_score_gemma":0.00004482175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002384376,"about_ca_topic_score_gemma":4.187692e-7,"domain_scores_codex":[0.9991018,0.00004465707,0.0001593812,0.0003570595,0.0001371229,0.0002000058],"domain_scores_gemma":[0.9992768,0.000009360089,0.00009393507,0.0001936585,0.0000372696,0.0003889985],"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":[0.0001826813,0.0000168951,0.00003278521,0.0000176485,0.00007496777,6.172903e-7,0.0001063288,0.00002309698,0.9792962,0.00007783332,0.01869224,0.001478711],"study_design_scores_gemma":[0.0007217405,0.0000195616,0.0007344927,0.000008961987,0.0001093458,1.637101e-7,0.00005019762,0.0009158895,0.2771274,0.00008147008,0.7200401,0.0001906374],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590139,0.0366387,0.0003018197,0.002882596,0.0004890441,0.000312515,0.0001448211,0.00002831233,0.0001882966],"genre_scores_gemma":[0.9876466,0.009215007,0.0001235425,0.001585789,0.0007121469,0.00002999274,0.0002566795,0.00003911222,0.0003910786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7021688,"threshold_uncertainty_score":0.458333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004349569551437813,"score_gpt":0.1809550209202689,"score_spread":0.1766054513688311,"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."}}