{"id":"W2969251458","doi":"10.1016/j.molmet.2019.08.011","title":"Metformin prevents the pathological browning of subcutaneous white adipose tissue","year":2019,"lang":"en","type":"article","venue":"Molecular Metabolism","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Canada Foundation for Innovation","keywords":"White adipose tissue; Metformin; Adipose tissue; Subcutaneous adipose tissue; Browning; Medicine; Pathological; Subcutaneous tissue; Internal medicine; Subcutaneous fat; White (mutation); Endocrinology; Diabetes mellitus; Pathology; Biology; Biochemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004889949,0.0002880362,0.0007781461,0.0001285482,0.0000580869,0.00001685587,0.0003140067,0.000157145,0.0007112189],"category_scores_gemma":[0.0001502992,0.0001849474,0.0002636279,0.0003619617,0.0001176555,0.00008223856,0.0001504448,0.0003657146,0.0002909043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001365529,"about_ca_system_score_gemma":0.00007530139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002817805,"about_ca_topic_score_gemma":0.000001014218,"domain_scores_codex":[0.9978738,0.0001904474,0.0004905914,0.0004099071,0.000575226,0.0004600694],"domain_scores_gemma":[0.9985453,0.00005306022,0.000204543,0.0008918854,0.0001286145,0.0001765808],"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":[0.0002695505,0.0002503463,0.001296054,0.0001115095,0.0003293884,0.001360853,0.001144802,0.00003675407,0.9346035,0.008672331,0.0002863548,0.05163857],"study_design_scores_gemma":[0.00345907,0.0005729191,0.03394405,0.0001593949,0.002215265,0.003784449,0.0002487178,0.00009256015,0.5725449,0.001682745,0.3806911,0.0006048048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680621,0.02162709,0.00107151,0.0003691135,0.0004801522,0.001022049,0.00001270361,0.00006529417,0.00728999],"genre_scores_gemma":[0.9870999,0.0002155638,0.003900175,0.0009436551,0.0001479312,0.00002962422,0.00002554714,0.00005478748,0.007582773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804048,"threshold_uncertainty_score":0.7787347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009751060869099257,"score_gpt":0.2584832416135328,"score_spread":0.2487321807444335,"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."}}