{"id":"W2145138875","doi":"10.3945/ajcn.112.035758","title":"Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship With Cardiometabolic Risk/Intra-Abdominal Adiposity","year":2012,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":436,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Adipose tissue; Internal medicine; Anthropometry; Intra-Abdominal Fat; Ethnic group; Hypertriglyceridemia; Endocrinology; Fatty liver; Body mass index; Type 2 diabetes; Diabetes mellitus; Physiology; Obesity; Insulin resistance; Cholesterol; Triglyceride; Visceral fat; Disease","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":[0.001742518,0.0003793014,0.0002721525,0.0005102224,0.0006242683,0.0008394076,0.0002937507,0.0004973154,0.00204154],"category_scores_gemma":[0.003108221,0.0003756752,0.0006665387,0.0008050523,0.0005638239,0.0003907522,0.0005359504,0.0008253197,0.0003424597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988964,"about_ca_system_score_gemma":0.000276347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004812248,"about_ca_topic_score_gemma":0.007941578,"domain_scores_codex":[0.9988489,0.0007284192,0.00009896929,0.0001335937,0.00008984757,0.0001002126],"domain_scores_gemma":[0.9969612,0.001156531,0.0005774237,0.0006199816,0.0002433397,0.0004414076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224955,0.0001303587,0.9939892,0.000007434038,0.0003657265,0.0001028794,0.0004724046,0.00009310266,0.001072936,0.0002182162,0.00008772717,0.002235057],"study_design_scores_gemma":[0.00001679908,0.00007867045,0.9988373,0.000005245554,0.0001125705,0.0001070229,0.0002271395,0.0001798852,0.0001322881,0.00007821978,0.0002198011,0.000005081456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997669,0.0003310043,0.0001673005,0.00008223153,0.00001608635,0.000005231804,0.0001239757,0.000003017783,0.001602159],"genre_scores_gemma":[0.9992152,0.00008882162,0.0001224289,0.00003072185,0.00001418787,0.000005642107,0.000108292,0.000007177585,0.0004075405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004812248,"threshold_uncertainty_score":0.009568453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406885996130135,"score_gpt":0.3208107080493823,"score_spread":0.2767418480880809,"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."}}