{"id":"W2004803010","doi":"10.1016/j.cmet.2013.01.004","title":"MicroRNA-133 Controls Brown Adipose Determination in Skeletal Muscle Satellite Cells by Targeting Prdm16","year":2013,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":296,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nordion (Canada); University of Ottawa; Ottawa Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Ontario Research Foundation","keywords":"PRDM16; Thermogenesis; Biology; Skeletal muscle; Myogenin; Brown adipose tissue; Endocrinology; Adipose tissue; Internal medicine; microRNA; Progenitor cell; Cell biology; White adipose tissue; MYF5; Stem cell; Myogenesis; Medicine; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004467556,0.0004392732,0.0008736566,0.0002954664,0.00009875587,0.00008316662,0.0002365343,0.0002960833,0.0008782286],"category_scores_gemma":[0.0001175736,0.0003973013,0.0002303294,0.0003833854,0.0001158593,0.0004734343,0.00007631344,0.0005018549,0.001329275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005382646,"about_ca_system_score_gemma":0.00008380814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003686706,"about_ca_topic_score_gemma":0.00001029418,"domain_scores_codex":[0.9971862,0.0001820743,0.0007986415,0.000630459,0.0003519526,0.0008506433],"domain_scores_gemma":[0.9984843,0.0001268221,0.0002800902,0.0004887203,0.0002092252,0.0004108205],"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":[0.00001694238,0.0002551069,0.0002467322,0.00007697823,0.0000264977,0.00003546234,0.0006573976,0.000001162033,0.8783076,0.00005775265,0.004558739,0.1157596],"study_design_scores_gemma":[0.003638871,0.00005714499,0.02176737,0.00004894928,0.0002687558,0.00001444062,0.0001486784,0.0001924082,0.386015,0.0001860111,0.5872478,0.0004145529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318587,0.0582238,0.0002464524,0.0004715965,0.0009118146,0.00168593,0.00002552648,0.0001266515,0.006449588],"genre_scores_gemma":[0.9786746,0.002142898,0.004498633,0.001185752,0.0007219207,0.0001537298,0.0001262577,0.00010512,0.01239108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.582689,"threshold_uncertainty_score":0.9998479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007103677241711239,"score_gpt":0.2289555314240251,"score_spread":0.2218518541823139,"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."}}