{"id":"W2086130768","doi":"10.1038/oby.2010.94","title":"Ethnic‐Specific Differences in Abdominal Subcutaneous Adipose Tissue Compartments","year":2010,"lang":"en","type":"article","venue":"Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Providence Health Care; Université Laval; McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Simon Fraser University","keywords":"Medicine; Adipose tissue; Obesity; Subcutaneous fat; Abdominal fat; Ethnic group; South asia; Subcutaneous adipose tissue; Internal medicine; Demography; Endocrinology","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":[0.0003748148,0.0002102192,0.0002214043,0.0002900701,0.0001524938,0.0005269294,0.0001258281,0.0001678173,0.003125743],"category_scores_gemma":[0.0006160335,0.0001439813,0.0003611379,0.0004043614,0.0001847169,0.0001902484,0.0003459736,0.0001885731,0.000369707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008735993,"about_ca_system_score_gemma":0.0001000514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136758,"about_ca_topic_score_gemma":0.00200727,"domain_scores_codex":[0.9998747,0.00002445629,0.00001576269,0.00004431364,0.00002073722,0.00002003498],"domain_scores_gemma":[0.9996538,0.00006664618,0.0001408266,0.00004048862,0.00004312873,0.00005504168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006814409,0.00003008663,0.9822726,0.00005248552,0.0003313178,0.0002179173,0.0004809283,0.00009240276,0.008283121,0.0001949644,0.0001547131,0.007208035],"study_design_scores_gemma":[0.000005383855,0.00004494244,0.9987344,0.000006590231,0.00003713766,0.0002731707,0.0002138774,0.0000997726,0.0002132273,0.00007827747,0.0002902143,0.00000297653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979498,0.0003952597,0.0002292,0.00002506916,0.000008119383,0.000005369052,0.0001863356,0.000003722831,0.001197101],"genre_scores_gemma":[0.9986872,0.0002173824,0.0001679022,0.0000338233,0.000007215723,0.000007069332,0.0002655947,0.000005154302,0.0006085402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003125743,"threshold_uncertainty_score":0.01045668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461731350419133,"score_gpt":0.3087746736641201,"score_spread":0.2626015386222068,"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."}}