{"id":"W7027305798","doi":"","title":"Canadian global village reality: Anthropometric surrogate cutoffs and metabolic abnormalities among Canadians of East Asian, South Asian, and European descent","year":2012,"lang":"en","type":"article","venue":"The HKU Scholars Hub (University of Hong Kong)","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waist; Anthropometry; Body mass index; Circumference; East Asia; Metabolic syndrome; Cutoff","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":[0.000855707,0.0003506968,0.000282633,0.0009274645,0.00204738,0.0009106385,0.0006190614,0.00033577,0.001683359],"category_scores_gemma":[0.003234135,0.0002292495,0.0002730518,0.002068531,0.0005327538,0.0002665269,0.0006072619,0.0003592853,0.0001588902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004929368,"about_ca_system_score_gemma":0.00553082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9695692,"about_ca_topic_score_gemma":0.9813026,"domain_scores_codex":[0.9994624,0.0000591595,0.00002542614,0.0001110677,0.0001939022,0.0001480771],"domain_scores_gemma":[0.9987082,0.0001266821,0.0002645736,0.00006604816,0.0006020571,0.0002324077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007853804,0.000009239858,0.9945539,0.00002730001,0.00003013999,0.00004860978,0.0004780788,0.00009050991,0.0001010233,0.00007773023,0.001387472,0.003117383],"study_design_scores_gemma":[0.000007283847,0.00001181178,0.997727,0.00001711677,0.00002250676,0.00006106035,0.0009772632,0.0002410256,0.00003496837,0.00002618073,0.0008662306,0.000007575809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925436,0.0004240576,0.0001839951,0.0002535462,0.00001060927,0.00002644909,0.003485159,0.00001204967,0.003060543],"genre_scores_gemma":[0.9983364,0.0001159078,0.0001881493,0.00004118407,0.000002797978,0.000009899678,0.001087593,0.000002516578,0.0002155425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03043079,"threshold_uncertainty_score":0.06121993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406401359553891,"score_gpt":0.2006258742767714,"score_spread":0.1865618606812325,"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."}}