{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645339,0.0002356203,0.0006245443,0.0004375129,0.0004355988,0.00004603183,0.0003084994,0.0001248136,0.0001025347],"category_scores_gemma":[0.0001396932,0.0002272889,0.0002199338,0.0007850393,0.0007953628,0.0005126285,0.000166908,0.0003208807,0.00001274886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601364,"about_ca_system_score_gemma":0.0003104884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7397279,"about_ca_topic_score_gemma":0.6061415,"domain_scores_codex":[0.9979681,0.0003829404,0.0002131826,0.0002796,0.0005322176,0.0006239398],"domain_scores_gemma":[0.9980391,0.00001729711,0.0001715228,0.0005730046,0.0001779338,0.001021157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008317327,0.0001094993,0.8830755,0.0002777759,0.001221372,0.0003021928,0.01323941,0.000004304192,0.0000266337,0.0008369258,0.0004473001,0.1003759],"study_design_scores_gemma":[0.001145093,0.00007961274,0.9662102,0.0001358514,0.0006539188,0.0001050251,0.02508865,0.00001317739,0.0000552537,0.00001286854,0.006287131,0.0002132061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813534,0.004877575,0.00003051594,0.001074274,0.0001225003,0.0003825754,0.0002832314,0.00003425649,0.01184166],"genre_scores_gemma":[0.9987132,0.0005239795,0.000138655,0.00007978818,0.00008327581,2.796756e-7,0.00002512073,0.00002575244,0.0004099613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335864,"threshold_uncertainty_score":0.9268571,"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."}}