{"id":"W2165504342","doi":"10.1101/gad.252734.114","title":"PRDM16 binds MED1 and controls chromatin architecture to determine a brown fat transcriptional program","year":2015,"lang":"en","type":"article","venue":"Genes & Development","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institutes of Health; National Institute of General Medical Sciences; JPB Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; University of Pennsylvania","keywords":"PRDM16; Chromatin immunoprecipitation; Biology; Chromatin; Gene; Brown adipose tissue; Mediator; Genetics; Cell biology; Adipose tissue; Promoter; Gene expression; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001399951,0.0002067885,0.000196745,0.0002443069,0.0001935023,0.0003912322,0.0002723158,0.0002209135,0.002547996],"category_scores_gemma":[0.0001584231,0.0002920244,0.0002473288,0.0001768035,0.0003569123,0.0002925556,0.0005461861,0.0004707932,0.0008160617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039993,"about_ca_system_score_gemma":0.0001495367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006345372,"about_ca_topic_score_gemma":0.001433356,"domain_scores_codex":[0.9998446,0.0000149969,0.00000783817,0.00006887109,0.00003162916,0.00003208281],"domain_scores_gemma":[0.9998626,0.00001677199,0.00004187641,0.00001848681,0.00001499554,0.00004530546],"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":[0.0001031788,0.000005131836,0.002187999,0.00002627168,0.00000523976,0.00003368303,0.00002820618,0.00008327493,0.9956921,0.0001950178,0.00003706474,0.001602917],"study_design_scores_gemma":[0.00003797003,0.0001496397,0.1379179,0.00002246472,0.00002354642,0.000509247,0.0001554775,0.002728764,0.8519257,0.0006303672,0.005884307,0.00001456321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896583,0.002347973,0.004856545,0.0001103667,0.00002261562,0.00001459586,0.0004588097,0.0001242989,0.002406535],"genre_scores_gemma":[0.9937863,0.0005553026,0.002001769,0.00005618914,0.00000668157,0.000008661342,0.0005453801,0.00003068663,0.003008986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547996,"threshold_uncertainty_score":0.008523941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657154304711602,"score_gpt":0.2865984372405082,"score_spread":0.2500268941933921,"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."}}