{"id":"W36891318","doi":"10.24095/hpcdp.34.1.06","title":"Metabolic syndrome and chronic disease","year":2014,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Public Health Agency of Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada; Public Health Agency; Australian Government; Public Health Agency of Canada","keywords":"Medicine; Metabolic syndrome; Diabetes mellitus; Overweight; Incidence (geometry); Disease; Type 2 diabetes; Population; Obesity; Framingham Heart Study; Cumulative incidence; Relative risk; Demography; Internal medicine; Framingham Risk Score; Environmental health; Confidence interval; Cohort; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001077623,0.0002233361,0.000572004,0.00008172175,0.00009720363,0.00004001522,0.00008551488,0.00003677394,0.0001361305],"category_scores_gemma":[0.0001153559,0.0001973247,0.0001022302,0.0001373206,0.0002254954,0.0001203646,0.00009484828,0.0001380506,0.000002714021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209285,"about_ca_system_score_gemma":0.00317331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6564711,"about_ca_topic_score_gemma":0.713825,"domain_scores_codex":[0.9985671,0.00005500956,0.0002347426,0.0003924139,0.000324176,0.0004265704],"domain_scores_gemma":[0.9987614,0.00004957975,0.00004546003,0.0004529826,0.00002892726,0.0006616236],"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":[0.0001608798,0.0001016279,0.1142822,0.002139001,0.0004730644,0.000346862,0.00004521179,0.00005543096,0.0000111519,0.002308999,0.003921766,0.8761538],"study_design_scores_gemma":[0.001493542,0.0001730191,0.7932786,0.0002288406,0.0003906335,0.00002123292,0.00004264191,0.0005555805,0.00003152213,0.000347038,0.2031917,0.0002456582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8380935,0.1603198,0.00001168362,0.0004684802,0.0002422243,0.0003331308,0.00009966367,0.00002588725,0.0004056336],"genre_scores_gemma":[0.9947626,0.004104295,0.00001410818,0.0004700755,0.0003391439,0.00007115776,0.00004218566,0.00002994055,0.0001664864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8759081,"threshold_uncertainty_score":0.8046669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004164256928071077,"score_gpt":0.2089371878269403,"score_spread":0.2047729308988693,"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."}}