{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004186502,0.0003106638,0.0003132426,0.0005756952,0.0004572961,0.0003381074,0.0001304189,0.0002744246,0.0008416044],"category_scores_gemma":[0.001249694,0.0001730659,0.0004907037,0.0006063744,0.000238642,0.0001929214,0.0002543663,0.0003601396,0.00008488807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345326,"about_ca_system_score_gemma":0.0002779594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827371,"about_ca_topic_score_gemma":0.01035461,"domain_scores_codex":[0.9997564,0.00005864246,0.00002860151,0.00005145965,0.00005819526,0.00004668421],"domain_scores_gemma":[0.9993837,0.0001101742,0.0001711679,0.00004833076,0.00007622133,0.0002103252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000337218,0.00006188164,0.9964593,0.00001127161,0.0001103297,0.000209136,0.0001337018,0.00002073436,0.000610819,0.00002070667,0.00005001578,0.001974776],"study_design_scores_gemma":[0.000003382705,0.00006304834,0.9996884,0.000001378565,0.00003330522,0.00005513531,0.0000427209,0.00004867971,0.00002526836,0.000008903761,0.00002827322,0.000001599489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991046,0.0003474702,0.00003192382,0.00004152172,0.000009033532,0.000004572495,0.00004995172,0.000002033501,0.0004089391],"genre_scores_gemma":[0.9996387,0.0001111677,0.00002998561,0.0000214052,0.00001135461,0.000003762008,0.00005032753,7.06859e-7,0.0001326818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00827371,"threshold_uncertainty_score":0.01645112,"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."}}