{"id":"W1992326632","doi":"10.1016/j.cmet.2007.06.001","title":"Transcriptional Control of Brown Fat Determination by PRDM16","year":2007,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":1167,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Agence Nationale de la Recherche; European Commission; Canadian Institutes of Health Research; Genome Canada; American Heart Association","keywords":"PRDM16; Brown adipose tissue; Thermogenin; White adipose tissue; Biology; Prohibitin; Cell biology; Endocrinology; Internal medicine; Adipose tissue; Mitochondrion; 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":[0.0004206514,0.0005583817,0.0004977788,0.0004033269,0.0003848506,0.001064176,0.0004583815,0.0003623943,0.004533488],"category_scores_gemma":[0.0003909238,0.0004965513,0.0006693135,0.0002196922,0.0006366707,0.0005097961,0.001072846,0.001149316,0.001807827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007390808,"about_ca_system_score_gemma":0.0003607341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008885458,"about_ca_topic_score_gemma":0.001845927,"domain_scores_codex":[0.999567,0.00006533138,0.00003158071,0.0001637495,0.00006561185,0.0001067283],"domain_scores_gemma":[0.9996579,0.00006051746,0.00009166352,0.00006983555,0.00004337673,0.00007679348],"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":[0.0004749506,0.00002994153,0.002228517,0.00005192305,0.00001236649,0.0001260137,0.00006701997,0.00007597067,0.9909467,0.001107919,0.0002611648,0.004617504],"study_design_scores_gemma":[0.00007357907,0.0002133691,0.0379329,0.00004805548,0.00002660348,0.0005497604,0.0002379379,0.001205454,0.9463902,0.0007184847,0.01258542,0.00001825566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678407,0.007203834,0.01085017,0.000865388,0.0003069889,0.00005385821,0.001907493,0.0003925141,0.01057897],"genre_scores_gemma":[0.9701014,0.001404842,0.006025029,0.0002999245,0.00005403258,0.00005177609,0.002842443,0.0002700846,0.01895055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004533488,"threshold_uncertainty_score":0.01516604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105623725459331,"score_gpt":0.2532083685903148,"score_spread":0.2426459960443817,"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."}}