{"id":"W2119806936","doi":"10.1111/j.1542-4758.2007.00158.x","title":"Prevalence of the metabolic syndrome in an incident dialysis population","year":2007,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dialysis Clinics","keywords":"Medicine; Metabolic syndrome; Abdominal obesity; Dialysis; Internal medicine; Population; National Cholesterol Education Program; Kidney disease; Diabetes mellitus; Hemodialysis; Peritoneal dialysis; Obesity; Intensive care medicine; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007907604,0.0001102504,0.0002764134,0.0004645365,0.00003109018,0.0000191416,0.0002716202,0.00004793823,0.0003322471],"category_scores_gemma":[0.0001588562,0.00007679295,0.0003010378,0.0005412409,0.00004512689,0.0001434353,0.0001011774,0.00008821256,0.00001051364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077645,"about_ca_system_score_gemma":0.00002476665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215527,"about_ca_topic_score_gemma":0.0002402778,"domain_scores_codex":[0.9982077,0.00006930567,0.0005347392,0.00024987,0.000789125,0.0001492684],"domain_scores_gemma":[0.9991796,0.00004236982,0.0002131536,0.0003780885,0.000106037,0.00008076651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008916494,0.0004434373,0.9846692,0.00003416894,0.0002397816,0.00002149581,0.0001672196,0.0004623752,0.001085405,0.002012509,0.00002098506,0.01075427],"study_design_scores_gemma":[0.0005326457,0.00002014239,0.995562,0.00005598977,0.0004883119,0.000006990781,0.00003676857,0.00166392,0.001010644,0.0002827841,0.0002646242,0.00007521053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963576,0.0001305122,0.0005669576,0.0004071843,0.0002669271,0.0002166457,0.00000985995,0.00001326218,0.002031102],"genre_scores_gemma":[0.9984883,0.0000638631,0.0003540236,0.0002110456,0.0001058871,0.00001364512,0.00005581916,0.000009834,0.0006975665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089278,"threshold_uncertainty_score":0.3637873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455070646692866,"score_gpt":0.288281686374545,"score_spread":0.2737309799076164,"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."}}