{"id":"W4386438690","doi":"10.2196/44073","title":"Association Between Metabolic Syndrome and Mortality: Prospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Medical Research Fund","keywords":"National Death Index; National Health and Nutrition Examination Survey; Medicine; Metabolic syndrome; Hazard ratio; National Cholesterol Education Program; Proportional hazards model; Demography; Obesity; Body mass index; Cohort study; Environmental health; Population; Gerontology; Internal medicine; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001632599,0.0004900456,0.0006196278,0.0008973406,0.0006916255,0.0007992127,0.0005805389,0.0006951483,0.001658572],"category_scores_gemma":[0.00257756,0.0006635434,0.000891997,0.003165132,0.0001956573,0.0005960921,0.0006665737,0.001878919,0.0004397694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479921,"about_ca_system_score_gemma":0.0007624043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00826,"about_ca_topic_score_gemma":0.01014522,"domain_scores_codex":[0.9986857,0.0002822363,0.000197726,0.0004068816,0.0002495944,0.0001778428],"domain_scores_gemma":[0.998188,0.000201435,0.0006946449,0.0003282785,0.0003660724,0.0002215878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002086366,0.00007163092,0.9974606,0.00004965379,0.0005081438,0.00006377594,0.00003938835,0.00004773159,0.00009515302,0.00002615201,0.0006642631,0.0007649261],"study_design_scores_gemma":[0.00004914559,0.00009667219,0.9983988,0.00004128856,0.0002554884,0.0001995751,0.00008363903,0.0001908938,0.00002448829,0.00003904263,0.0006110072,0.000009923305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783029,0.002776098,0.0009035702,0.0003167017,0.0001143039,0.0001385214,0.01641452,0.00002732569,0.001006019],"genre_scores_gemma":[0.9882562,0.001632195,0.00086127,0.0002817936,0.0000861982,0.0003334489,0.007845465,0.0000128003,0.0006906386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00826,"threshold_uncertainty_score":0.01642388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827369104454756,"score_gpt":0.3140500935183484,"score_spread":0.2857764024738009,"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."}}