{"id":"W2101396631","doi":"10.5539/gjhs.v4n5p53","title":"The Prevalence of Metabolic Syndrome and Factors Associated with Quality of Dialysis among Hemodialysis Patients in Southern Taiwan","year":2012,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Hemodialysis; Dialysis; Odds ratio; Medical prescription; Confidence interval; Internal medicine; Metabolic syndrome; Logistic regression; Dialysis adequacy; Obesity; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004343561,0.0001584272,0.0002003098,0.0006808855,0.0002646877,0.0004838668,0.0001767608,0.0002874934,0.0007389689],"category_scores_gemma":[0.0008413305,0.0001860488,0.0002516514,0.0006781045,0.000246924,0.0003262115,0.0003370807,0.0003060636,0.00007194213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002462798,"about_ca_system_score_gemma":0.0003658058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007949339,"about_ca_topic_score_gemma":0.007780643,"domain_scores_codex":[0.999733,0.00006911303,0.00005567812,0.00005221833,0.00004416422,0.00004579114],"domain_scores_gemma":[0.9993079,0.00009195647,0.0003295413,0.00003014468,0.00007525608,0.0001652688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001811452,0.00001388854,0.9993286,0.000004572639,0.00001647412,0.00004851443,0.00008129427,0.00001222278,0.0001279674,0.000004391869,0.00001247239,0.0003314085],"study_design_scores_gemma":[0.000003091732,0.00003075336,0.9993954,0.000004155368,0.000009193658,0.0001511542,0.0002746627,0.00007456276,0.00001700837,0.000006179952,0.00003215807,0.000001730608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997624,0.00008699298,0.00001634247,0.00002410882,8.211225e-7,0.00000186028,0.00003713106,6.193454e-7,0.000069779],"genre_scores_gemma":[0.9998605,0.00003880576,0.00001616349,0.000009907268,0.00000251955,0.000002436149,0.0000472506,2.167112e-7,0.00002221512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007949339,"threshold_uncertainty_score":0.01580614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525519513641214,"score_gpt":0.3122135061409149,"score_spread":0.2869583110045028,"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."}}