{"id":"W2790188016","doi":"10.1016/j.clnu.2018.02.025","title":"Metabolically healthy obesity, vitamin D, and all-cause and cardiometabolic mortality risk in NHANES III","year":2018,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pure North; York University","funders":"","keywords":"Medicine; National Health and Nutrition Examination Survey; Hazard ratio; Obesity; Vitamin D and neurology; Proportional hazards model; Metabolic syndrome; Internal medicine; vitamin D deficiency; Physiology; Population; Environmental health; 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":[0.0006826635,0.0002814638,0.0003245234,0.0003516461,0.0005088361,0.000614628,0.0003157724,0.0003891551,0.00152818],"category_scores_gemma":[0.000955614,0.0003428727,0.0006076313,0.0005812403,0.0002161099,0.0002515535,0.0004892017,0.0005139729,0.0002458807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003982184,"about_ca_system_score_gemma":0.0005279019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04555256,"about_ca_topic_score_gemma":0.05327697,"domain_scores_codex":[0.9997204,0.00009626702,0.00003728463,0.0000458329,0.00004313399,0.00005706826],"domain_scores_gemma":[0.9996395,0.00005481276,0.0001065827,0.00004837196,0.00004654415,0.0001042079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001614573,0.0002310382,0.9940754,0.00003730549,0.0004278042,0.00007169628,0.0001577357,0.00005493848,0.001031132,0.00005725046,0.0007369499,0.001504148],"study_design_scores_gemma":[0.00004633904,0.00007570179,0.9989466,0.0000086418,0.00007998059,0.00003877839,0.0001968229,0.00003179479,0.00008212283,0.00001744088,0.0004733854,0.000002467392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961986,0.0004932474,0.00009243181,0.00009100902,0.00002088782,0.00001773941,0.002135669,0.000004307779,0.0009460901],"genre_scores_gemma":[0.9950466,0.0002283197,0.0001198903,0.0001370382,0.00001807611,0.00004906521,0.003385506,0.000005359777,0.001010176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04555256,"threshold_uncertainty_score":0.0905748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273760861988783,"score_gpt":0.4422936299701026,"score_spread":0.3495560213502148,"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."}}