{"id":"W2057045188","doi":"10.1089/met.2010.0019","title":"Effects of Metabolic Syndrome on Cardio-Ankle Vascular Index in Middle-Aged and Elderly Chinese","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Jilin University; People's Government of Jilin Province","keywords":"Medicine; Metabolic syndrome; Arterial stiffness; Waist; Abdominal obesity; Internal medicine; Diabetes mellitus; Body mass index; Cardiology; Blood pressure; Obesity; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006745994,0.0003698271,0.001352412,0.0006593788,0.000106946,0.00001876173,0.00009197107,0.0003978317,0.00005244297],"category_scores_gemma":[0.0002706345,0.0003004546,0.0005396627,0.0008091226,0.0001873867,0.0001390736,0.00006020666,0.0007342093,0.00001589196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007861594,"about_ca_system_score_gemma":0.00009590299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005736912,"about_ca_topic_score_gemma":0.00007578889,"domain_scores_codex":[0.9976752,0.0002516363,0.0005564698,0.0005639116,0.0004899384,0.0004628732],"domain_scores_gemma":[0.9987565,0.0001124149,0.0001285565,0.0005285899,0.0000394141,0.0004345823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001423086,0.003447386,0.8196517,0.007058362,0.009462507,0.002140577,0.002965712,0.0001998165,0.01059836,0.002460044,0.00004861515,0.1405438],"study_design_scores_gemma":[0.00969704,0.0001741688,0.9850159,0.0002205866,0.00123498,0.00101177,0.00006644148,0.00009454862,0.00006451356,0.001117841,0.001018025,0.0002842308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165779,0.08097504,0.00002374288,0.0001215196,0.0004268613,0.001270271,0.000006733496,0.00005529392,0.0005426728],"genre_scores_gemma":[0.9889634,0.01056381,0.00005446209,0.00008305781,0.00002336439,0.00009843316,0.0000296592,0.00004701872,0.0001368338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1653641,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003520314980309041,"score_gpt":0.2218608953284964,"score_spread":0.2183405803481873,"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."}}