{"id":"W2949532993","doi":"10.1089/met.2018.0136","title":"Metabolic Syndrome Components and Long-Term Incidence of Cardiovascular Disease in Eastern Mediterranean Region: A 13-Year Population-Based Cohort Study","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Metabolic syndrome; Odds ratio; Hazard ratio; Waist; Internal medicine; Confidence interval; Incidence (geometry); Cohort; Population; Blood pressure; Disease; Logistic regression; Waist-to-height ratio; Cohort study; Demography; Body mass index; Obesity; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001023505,0.0004860371,0.0005593307,0.0007701096,0.0005537088,0.0006233735,0.0005167284,0.0006471879,0.0009937269],"category_scores_gemma":[0.0008789125,0.0004845388,0.0008909026,0.001303043,0.0001909462,0.0005137518,0.0004478498,0.0008026115,0.000275123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992093,"about_ca_system_score_gemma":0.0004242257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108181,"about_ca_topic_score_gemma":0.01051721,"domain_scores_codex":[0.9996624,0.00007806804,0.0000393058,0.00008185324,0.00007820948,0.0000601741],"domain_scores_gemma":[0.9994668,0.0000373829,0.0001929952,0.00007357183,0.00009720404,0.0001320083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008616762,0.00005048278,0.9991913,0.000004906895,0.0001044692,0.0000341078,0.00003757996,0.00001634225,0.00007684794,0.000004881272,0.00007146047,0.0003214233],"study_design_scores_gemma":[0.000008524176,0.00005248205,0.9996562,0.000002977794,0.00003696629,0.00004539064,0.00005577843,0.00006829308,0.000009811032,0.000004540317,0.00005706862,0.000001913417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986717,0.0001759863,0.00008971417,0.00003512725,0.00000820695,0.00002501586,0.0007687148,0.000004055739,0.000221562],"genre_scores_gemma":[0.9982304,0.0001721093,0.0001969731,0.00004320447,0.0000179513,0.00005179343,0.001026899,0.000002760845,0.0002578776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108181,"threshold_uncertainty_score":0.02151024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063044727370148,"score_gpt":0.2273904827571964,"score_spread":0.216760035483495,"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."}}