{"id":"W4400591465","doi":"10.1038/s41598-024-67127-1","title":"Elevated TyG index is associated with increased risk of vitamin D deficiency among elderly patients with type 2 diabetes","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Natural Science Foundation of China","keywords":"Medicine; Quartile; Internal medicine; Triglyceride; vitamin D deficiency; Vitamin D and neurology; Diabetes mellitus; Endocrinology; Insulin resistance; Logistic regression; Type 2 Diabetes Mellitus; Type 2 diabetes; Insulin; Gastroenterology; Cholesterol; Confidence interval","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":[0.0003948012,0.0003403683,0.0005896082,0.0007867654,0.000341365,0.0004786662,0.0001971794,0.0004183145,0.00107797],"category_scores_gemma":[0.001430251,0.0002372848,0.0005132535,0.00110211,0.0001663026,0.0002355215,0.0003050862,0.0005961293,0.0001551132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330233,"about_ca_system_score_gemma":0.0001469937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718319,"about_ca_topic_score_gemma":0.001512075,"domain_scores_codex":[0.9997903,0.00004774508,0.00003802919,0.00005236036,0.00004220945,0.00002950741],"domain_scores_gemma":[0.9992254,0.0001383659,0.0003608892,0.00005409242,0.00008713277,0.0001342001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001884392,0.00001827555,0.9983792,0.00000744823,0.00005550206,0.00008891215,0.00002060083,0.00001689356,0.0002371662,0.000006273234,0.00003612198,0.0009451463],"study_design_scores_gemma":[0.00001155014,0.000101094,0.9988579,0.000006449888,0.0000774517,0.0004755412,0.00006028914,0.000189906,0.00006718278,0.00003207115,0.0001165428,0.000004047164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985479,0.0008328527,0.0001392131,0.00003237008,0.00001065612,0.000005901314,0.0001462469,0.000005237837,0.0002796522],"genre_scores_gemma":[0.9994504,0.0001697688,0.0001097894,0.00002675452,0.00001617123,0.000005152234,0.00011727,0.000001420383,0.000103207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001718319,"threshold_uncertainty_score":0.0036062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007314144294202524,"score_gpt":0.2406405156660966,"score_spread":0.2333263713718941,"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."}}