{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004924798,0.0001837061,0.001027246,0.0001984141,0.0002147336,0.00009138786,0.00005790126,0.0001057992,0.00001070349],"category_scores_gemma":[0.0005791688,0.0001635228,0.00009107211,0.0007522239,0.00004601838,0.0001401427,0.00006615489,0.0002536313,0.0000258068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257653,"about_ca_system_score_gemma":0.0003136828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486442,"about_ca_topic_score_gemma":0.0007674143,"domain_scores_codex":[0.9974084,0.000401626,0.0003838162,0.0005107538,0.0006642612,0.0006311689],"domain_scores_gemma":[0.9985453,0.0001315598,0.0001553466,0.0003638989,0.0001584632,0.0006454235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005693793,0.00007556533,0.9502334,0.0001321251,0.0009081338,0.00001702061,0.0005350226,6.347737e-8,1.666909e-7,0.0000189996,0.0006415563,0.04743224],"study_design_scores_gemma":[0.001352005,0.0003664291,0.9711331,0.000009236201,0.00002287344,0.00001296004,0.0003651915,0.00001728939,2.540588e-7,0.0000461862,0.02653088,0.0001436071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910373,0.001967892,0.00001073308,0.002917991,0.0001263693,0.003082001,0.00004596663,0.0002664396,0.0005452923],"genre_scores_gemma":[0.9969053,0.0009933475,0.00001496614,0.0003756784,0.000243043,0.0004904507,0.0001249781,0.0000276421,0.0008245988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04728863,"threshold_uncertainty_score":0.6668268,"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."}}