{"id":"W2483569930","doi":"10.3945/ajcn.116.132563","title":"Biomarkers of browning of white adipose tissue and their regulation during exercise- and diet-induced weight loss,","year":2016,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Brock University","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Browning; White adipose tissue; Weight loss; Adipose tissue; Internal medicine; Endocrinology; Medicine; Food science; Chemistry; Obesity","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":[],"consensus_categories":[],"category_scores_codex":[0.0005986968,0.0001159419,0.0008596483,0.0001706811,0.00003798854,0.000003108272,0.00005124737,0.00007741275,0.00002364078],"category_scores_gemma":[0.0003032265,0.00007253334,0.0001260202,0.0001682041,0.0004638105,0.0001857056,0.00003170229,0.0001339625,4.947252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022061,"about_ca_system_score_gemma":0.00004078924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009381277,"about_ca_topic_score_gemma":8.856786e-7,"domain_scores_codex":[0.9983182,0.0001224317,0.001087282,0.0001493524,0.000192269,0.0001304657],"domain_scores_gemma":[0.9979156,0.0003143132,0.00115241,0.0001428701,0.0002655912,0.0002092135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006485165,0.0003509251,0.05396408,0.0002119851,0.0002616836,0.00002246948,0.0003672959,8.530773e-8,0.3973023,0.00003370679,0.00008718371,0.5409132],"study_design_scores_gemma":[0.009277095,0.003957549,0.8437217,0.004583968,0.0005232328,0.0003030133,0.0003647336,0.000008781552,0.134721,0.0007011764,0.001684731,0.0001529279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951158,0.002659729,0.0003294925,0.001578446,0.0001132495,0.0001547902,0.000006745922,0.000005873198,0.00003593376],"genre_scores_gemma":[0.9878166,0.009238874,0.002536865,0.00003114369,0.0003268592,0.000001415129,0.000001621395,0.00001496432,0.00003166281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7897577,"threshold_uncertainty_score":0.2957824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198050998004215,"score_gpt":0.3201848870549165,"score_spread":0.2982043770748743,"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."}}