{"id":"W2072171291","doi":"10.1139/h05-024","title":"Physical activity and the metabolic syndrome in Canada","year":2006,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Metabolic syndrome; Odds ratio; Medicine; Confidence interval; Physical activity; Metabolic equivalent; Logistic regression; Odds; National Cholesterol Education Program; Demography; Gerontology; Internal medicine; Physical therapy; Obesity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0004771625,0.0002065439,0.0004130361,0.001134021,0.002975013,0.001192358,0.0006998706,0.0004082756,0.003572204],"category_scores_gemma":[0.002393941,0.0002238321,0.0004674318,0.004202751,0.0005436505,0.0002970485,0.0006973582,0.0008483205,0.0001614203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02258698,"about_ca_system_score_gemma":0.04745878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972262,"about_ca_topic_score_gemma":0.9980489,"domain_scores_codex":[0.9992549,0.00007049098,0.00004288839,0.00006579429,0.0003202281,0.0002456782],"domain_scores_gemma":[0.9982756,0.0001034482,0.0002075313,0.00003135036,0.0007761239,0.0006058356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172952,0.0000788273,0.9620875,0.0001465404,0.00007732373,0.0002408748,0.0006665245,0.0002057554,0.0001172665,0.0007289301,0.007752907,0.02778022],"study_design_scores_gemma":[0.00001428814,0.00001747499,0.9958407,0.0001118825,0.00003048607,0.00007851855,0.0005573633,0.0002297424,0.00001712434,0.0001093889,0.00298095,0.00001216519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322887,0.02131457,0.0002806098,0.0126474,0.0002646104,0.0001295479,0.01012552,0.0000331915,0.02291582],"genre_scores_gemma":[0.9851393,0.008730235,0.0003076783,0.0008257859,0.00004599981,0.00002660707,0.00186636,0.000007071475,0.003050906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02258698,"threshold_uncertainty_score":0.1638808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005434826549801486,"score_gpt":0.2032253861337476,"score_spread":0.1977905595839461,"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."}}