{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000387611,0.0004112773,0.0004286303,0.0003082599,0.0003609323,0.0007167482,0.0003943887,0.0003778675,0.002665186],"category_scores_gemma":[0.0003114387,0.000509165,0.0005421462,0.0001383306,0.0005477303,0.0002946463,0.0006176911,0.001129925,0.000784016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006729102,"about_ca_system_score_gemma":0.0005332304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00085716,"about_ca_topic_score_gemma":0.003087983,"domain_scores_codex":[0.999495,0.00006288484,0.00004945056,0.0001790227,0.0001038238,0.0001098567],"domain_scores_gemma":[0.9998011,0.00002811756,0.00007455449,0.00002311351,0.00001654306,0.00005645951],"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":[0.0002464128,0.00002841588,0.0009652273,0.00004298739,0.00001314735,0.00008621966,0.00003425679,0.00006938505,0.9954128,0.0004579308,0.0002941591,0.002349066],"study_design_scores_gemma":[0.0001145134,0.0003170093,0.0196254,0.00002137837,0.00007281936,0.0005045178,0.0001231245,0.002617587,0.9663381,0.0003041403,0.009944181,0.00001722771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982739,0.00190801,0.007115983,0.0004548721,0.0003851411,0.00004284478,0.0006661879,0.0006633022,0.00602464],"genre_scores_gemma":[0.9879183,0.0004113332,0.004277616,0.0002609389,0.00002922244,0.00005536731,0.000521093,0.0002141001,0.00631209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665186,"threshold_uncertainty_score":0.008915961,"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."}}