{"id":"W1919836900","doi":"10.1002/oby.20102","title":"Differences in subcutaneous abdominal adiposity regions in four ethnic groups","year":2013,"lang":"en","type":"article","venue":"Obesity","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Institute of Nutrition, Metabolism and Diabetes; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confounding; Ethnic group; Adipose tissue; Subcutaneous fat; Body fat distribution; Cohort; Demography; South asia; Subcutaneous adipose tissue; Abdominal fat; Fat mass; Anthropometry; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921394,0.0002404332,0.0001434581,0.0003779134,0.0002123319,0.0003471007,0.0001410179,0.0001825928,0.001836158],"category_scores_gemma":[0.0006403887,0.000119995,0.0002653732,0.0002677704,0.0002183617,0.0001612714,0.000339062,0.0001591767,0.0002694992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286306,"about_ca_system_score_gemma":0.0001221571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521045,"about_ca_topic_score_gemma":0.005946932,"domain_scores_codex":[0.9998879,0.00002001848,0.00001171837,0.00003763085,0.00002260579,0.0000200761],"domain_scores_gemma":[0.9997385,0.00003862157,0.0001071311,0.00002212299,0.00004511325,0.00004847197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005015799,0.00002428676,0.9907125,0.00002272022,0.0001393256,0.000140006,0.0005573612,0.00005696446,0.004265898,0.00005106689,0.00004488614,0.003483515],"study_design_scores_gemma":[0.000005175114,0.00006481895,0.9992154,0.000003484834,0.00001777593,0.0001606598,0.0002573975,0.00007010673,0.0001157081,0.00002445923,0.00006341848,0.000001693614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994426,0.00008509796,0.00007149153,0.00000701692,0.000001842821,0.000004134786,0.00007573577,0.000001578258,0.0003104829],"genre_scores_gemma":[0.9993074,0.00004683261,0.0001245634,0.000009310513,0.000001924338,0.000006099494,0.0001271915,0.000001454824,0.0003752545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004521045,"threshold_uncertainty_score":0.008989453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613848392399121,"score_gpt":0.2387904100435334,"score_spread":0.2126519261195422,"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."}}