{"id":"W4399892890","doi":"10.3390/nu16131979","title":"Association between Vitamin D Deficiency and Prediabetes Phenotypes: A Population-Based Study in Henan, China","year":2024,"lang":"en","type":"article","venue":"Nutrients","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Prediabetes; vitamin D deficiency; China; Phenotype; Medicine; Vitamin D and neurology; Population; Diabetes mellitus; Internal medicine; Biology; Environmental health; Genetics; Endocrinology; Type 2 diabetes; Geography; Gene","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":[0.0007827436,0.0003758008,0.0004421945,0.001076141,0.0009055746,0.000444815,0.0004415417,0.0004069003,0.0005527544],"category_scores_gemma":[0.0006128325,0.0004591512,0.0003721009,0.001693593,0.0004052237,0.0003489589,0.0003876158,0.000322117,0.00006190238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156461,"about_ca_system_score_gemma":0.001090571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08236884,"about_ca_topic_score_gemma":0.08608095,"domain_scores_codex":[0.9996216,0.00009027967,0.00004135947,0.000108839,0.00007169806,0.00006619834],"domain_scores_gemma":[0.9996037,0.00006282794,0.00008982779,0.000046367,0.00007843987,0.0001188276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003977531,0.00003745021,0.9981668,0.00001455351,0.00007356349,0.00009384422,0.0002658662,0.00004809973,0.0002733134,0.00002191644,0.00006214288,0.0009027282],"study_design_scores_gemma":[0.000005403458,0.00003226628,0.9994185,0.000002843987,0.0000211755,0.00005844858,0.0001599407,0.0001784992,0.00001634734,0.00001560694,0.00008828587,0.000002787038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995115,0.0001324461,0.00005455575,0.0000346873,0.000001979504,0.00001086986,0.000102379,0.000001318986,0.0001502569],"genre_scores_gemma":[0.9995609,0.00007001583,0.00006114733,0.00003089601,0.000003449519,0.00001065661,0.0001259732,6.104641e-7,0.0001364322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08236884,"threshold_uncertainty_score":0.1637788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511534664506765,"score_gpt":0.3062821904534255,"score_spread":0.2911668438083579,"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."}}