{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001915228,0.0002118462,0.0003574654,0.0001314036,0.00006319716,0.0000261404,0.0000773177,0.00008273701,0.00006058274],"category_scores_gemma":[0.00004080826,0.0001625981,0.00004027946,0.0001456216,0.00004328879,0.00003767635,0.00004111004,0.00009797759,0.00006575762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005120141,"about_ca_system_score_gemma":0.0002908167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067433,"about_ca_topic_score_gemma":0.00004323549,"domain_scores_codex":[0.9986399,0.00002753803,0.0003018866,0.0003020426,0.0003873058,0.0003413229],"domain_scores_gemma":[0.9991364,0.00001557705,0.00004354096,0.000160646,0.0001120196,0.0005317942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000207169,0.0001437119,0.001009349,0.00006093381,0.0001218044,0.00005529619,0.004706199,0.000005357051,0.08952389,0.00006015611,0.001137727,0.9029684],"study_design_scores_gemma":[0.00304505,0.0003828863,0.05082127,0.0000987073,0.0001007682,0.0002854573,0.0001144814,0.00002343074,0.03009763,0.00008755466,0.9146897,0.0002530988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877663,0.005443006,0.00165045,0.002627003,0.0002238008,0.001441123,0.000007249481,0.0001303223,0.0007107207],"genre_scores_gemma":[0.8151318,0.00007885401,0.1778729,0.001933439,0.0005291919,0.0006140114,0.00009830281,0.00004454243,0.003696971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9135519,"threshold_uncertainty_score":0.6630559,"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."}}