{"id":"W2726356061","doi":"10.1016/j.dsx.2017.07.022","title":"Longitudinal changes in visceral and subcutaneous adipose tissue and metabolic syndrome: Results from the Multicultural Community Health Assessment Trial (M-CHAT)","year":2017,"lang":"en","type":"article","venue":"Diabetes & Metabolic Syndrome Clinical Research & Reviews","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Michael Smith Health Research BC; Canadian Institutes of Health Research; Heart and Stroke Foundation of British Columbia and Yukon","keywords":"Metabolic syndrome; Medicine; Longitudinal study; Odds ratio; Adipose tissue; National Cholesterol Education Program; Internal medicine; Logistic regression; Odds; Endocrinology; Demography; Obesity; Pathology","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04226113,0.0006796662,0.004980844,0.000270427,0.001672469,0.0006570534,0.001248157,0.0003928766,0.00007235379],"category_scores_gemma":[0.02303724,0.0004271682,0.0006781194,0.0004761058,0.00201622,0.0003463933,0.001327993,0.003991307,0.00007152183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074477,"about_ca_system_score_gemma":0.0004000707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03452149,"about_ca_topic_score_gemma":0.01530854,"domain_scores_codex":[0.9815277,0.0114208,0.002390993,0.00136851,0.001595323,0.001696668],"domain_scores_gemma":[0.9885008,0.00512057,0.0008885384,0.003917343,0.0003414991,0.001231201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002158693,0.001016563,0.03604572,0.0003987233,0.001125347,0.0004365267,0.0007484975,3.130389e-7,0.00003674524,0.00005578489,0.0007768607,0.9572002],"study_design_scores_gemma":[0.02158658,0.002921916,0.8272067,0.001321534,0.0005276775,0.0002009304,0.0001634869,0.00005506115,0.00002777219,0.0001449538,0.1454795,0.0003638527],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7803285,0.2086221,0.000001299925,0.00466457,0.0004854367,0.005552425,0.0002060368,0.00004179085,0.00009785431],"genre_scores_gemma":[0.8227524,0.1741146,0.0007888862,0.0005669157,0.0006551556,0.0006432807,0.0001750259,0.00006559536,0.0002381555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9568363,"threshold_uncertainty_score":0.999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2000493823219206,"score_gpt":0.4785540982804423,"score_spread":0.2785047159585217,"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."}}