{"id":"W2275553436","doi":"","title":"A Cross-national Comparison Study of Metabolic Syndrome among Canadian and Korean Older Adults","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Metabolic syndrome; Cross-sectional study; Dyslipidemia; Obesity; Demography; Logistic regression; National Health and Nutrition Examination Survey; Marital status; Univariate analysis; Abdominal obesity; Comorbidity; Gerontology; Environmental health; Internal medicine; Multivariate analysis; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007372269,0.000492314,0.0004802865,0.001347747,0.002729577,0.0006458333,0.0007435094,0.0005188096,0.002026937],"category_scores_gemma":[0.001361696,0.000371927,0.0006225395,0.003684836,0.0003242241,0.0003783206,0.0006838522,0.0004933928,0.0002712216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006713621,"about_ca_system_score_gemma":0.007640905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.958095,"about_ca_topic_score_gemma":0.9755351,"domain_scores_codex":[0.9994435,0.00003060066,0.00005208952,0.0001434999,0.0001697125,0.0001606934],"domain_scores_gemma":[0.9990228,0.00003542114,0.0001361298,0.00004434565,0.0005395301,0.0002218346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000133128,0.00007185973,0.9954897,0.00004500853,0.0001051416,0.000101537,0.0007378346,0.00002137724,0.0001969881,0.00005457283,0.0008414267,0.002201587],"study_design_scores_gemma":[0.00001314251,0.00002328527,0.9983768,0.00001194155,0.00003706616,0.00005036102,0.0009497915,0.00004376401,0.00001584244,0.000007175264,0.0004646136,0.000006160004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995339,0.000268101,0.00004769411,0.00007847016,0.00001295697,0.00005343709,0.003253821,0.000003262613,0.0009431604],"genre_scores_gemma":[0.994358,0.0004502964,0.0002677709,0.0001626278,0.000009587917,0.00005532714,0.004040358,0.000003320315,0.0006526113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04190505,"threshold_uncertainty_score":0.08430362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212955730436762,"score_gpt":0.2569753620551354,"score_spread":0.2448458047507678,"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."}}