{"id":"W1830084402","doi":"10.1093/ajcn/87.1.56","title":"Subcutaneous adipocyte size and body fat distribution","year":2008,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Adipocyte; Internal medicine; Endocrinology; Body mass index; Adipose tissue; Intra-Abdominal Fat; Medicine; Biology; Obesity; Visceral fat; Insulin resistance","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005918184,0.0002488889,0.0002460629,0.0006534617,0.0001269598,0.0006144728,0.0001848993,0.0003826718,0.002559025],"category_scores_gemma":[0.001390892,0.0002637234,0.0002324948,0.0003790646,0.0003284224,0.0004724262,0.0003137071,0.0005220631,0.0003570767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294133,"about_ca_system_score_gemma":0.000105443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005067359,"about_ca_topic_score_gemma":0.0006073415,"domain_scores_codex":[0.9998279,0.00006287351,0.00001325052,0.0000352407,0.00004271912,0.00001815055],"domain_scores_gemma":[0.9987318,0.0004976061,0.0003339691,0.0001200631,0.00008500362,0.0002315385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01160742,0.0003205078,0.907967,0.00005787615,0.0003608301,0.00060126,0.0002722486,0.0004305878,0.05223729,0.0004930068,0.0002449398,0.0254071],"study_design_scores_gemma":[0.00006318422,0.0005498271,0.9942313,0.000008453623,0.00007784588,0.001681826,0.0001566499,0.0005364533,0.002179606,0.0002750354,0.0002292001,0.00001052758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997408,0.001090714,0.000318744,0.0000517549,0.00001204317,0.000003939309,0.00008347271,0.000005562611,0.001025791],"genre_scores_gemma":[0.9989072,0.0001624032,0.0001789186,0.00003329939,0.00001664115,0.000004729276,0.00007684449,0.000006313226,0.0006135707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002559025,"threshold_uncertainty_score":0.008560836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200711850223249,"score_gpt":0.3165252686311583,"score_spread":0.2945181501289258,"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."}}