{"id":"W2952816198","doi":"10.1136/annrheumdis-2019-eular.8097","title":"SAT0411 COMORBIDITY PATTERNS IN GOUT USING THE US GENERAL POPULATION – CLUSTER ANALYSIS OF THE NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY 2007-2016","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada","funders":"","keywords":"Medicine; Comorbidity; Gout; National Health and Nutrition Examination Survey; Internal medicine; Population; Kidney disease; Diabetes mellitus; Type 2 diabetes; Hypertriglyceridemia; Obesity; Physical therapy; Environmental health; Endocrinology; Cholesterol","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":[0.0006161553,0.0004610078,0.0005633265,0.001867932,0.000523723,0.0008831296,0.0006306322,0.0005627912,0.00220011],"category_scores_gemma":[0.001799541,0.0003816499,0.002076405,0.003452203,0.0002670494,0.0004778873,0.001160179,0.0006826851,0.0004063449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005720807,"about_ca_system_score_gemma":0.0006646972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06565005,"about_ca_topic_score_gemma":0.07442269,"domain_scores_codex":[0.9989963,0.0001993574,0.0001664707,0.0003311136,0.0001519019,0.0001548146],"domain_scores_gemma":[0.9990219,0.00009540198,0.0004358313,0.0001552984,0.0001893331,0.0001021279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002198214,0.00001635724,0.9972478,0.00002379475,0.0004825742,0.00002371053,0.00004763597,0.0002663825,0.000190444,0.00003919254,0.0005391538,0.000903226],"study_design_scores_gemma":[0.000005343107,0.00001950945,0.9990472,0.000006799313,0.00008381092,0.00007017967,0.00008650155,0.0004349084,0.00002659326,0.00001727276,0.0001968074,0.000005002963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912646,0.0003775206,0.0001841972,0.0000398552,0.00001561388,0.00001355931,0.007453349,0.00001818813,0.0006330188],"genre_scores_gemma":[0.9949089,0.000109784,0.0001268692,0.0000173497,0.000007175423,0.00001322789,0.004512025,0.00000894624,0.0002958353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06565005,"threshold_uncertainty_score":0.1305358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09650187605185383,"score_gpt":0.3894386082671541,"score_spread":0.2929367322153003,"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."}}