{"id":"W4304481136","doi":"10.1093/rheumatology/keac590","title":"Nationwide racial/ethnic disparities in US emergency department visits and hospitalizations for gout","year":2022,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Rheumatology Research Foundation","keywords":"Medicine; Emergency department; Gout; Ethnic group; Demography; Population; Emergency medicine; Gerontology; Internal medicine; Environmental health","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":[0.0009298868,0.0001188546,0.0001708224,0.000724908,0.0003438985,0.0003259883,0.000228327,0.0002786153,0.002237102],"category_scores_gemma":[0.00162789,0.0001130891,0.000404292,0.001056822,0.0001515671,0.0002662115,0.0006734851,0.000324585,0.0001936326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302783,"about_ca_system_score_gemma":0.0004830873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231759,"about_ca_topic_score_gemma":0.03595135,"domain_scores_codex":[0.999449,0.0001582327,0.00005873944,0.0001053285,0.0001004835,0.0001282919],"domain_scores_gemma":[0.9991676,0.00009343404,0.0004669495,0.00004950324,0.0001271576,0.0000953765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005835884,0.00004523081,0.9941443,0.00002207872,0.00009219388,0.00004145893,0.0000903819,0.00006673552,0.0001657007,0.0001460023,0.0008758686,0.004251628],"study_design_scores_gemma":[0.000003892977,0.000009777913,0.9992037,0.00001184497,0.00002407855,0.00005533429,0.000105959,0.000136138,0.00003229899,0.00003940972,0.0003756866,0.000001817069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938377,0.000757556,0.0001472952,0.0006056068,0.00002162701,0.00001454378,0.002660792,0.00001135766,0.001943434],"genre_scores_gemma":[0.9982158,0.0002186942,0.0001125719,0.0001468945,0.00002407205,0.000009656357,0.001151589,0.000002188772,0.0001184888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0231759,"threshold_uncertainty_score":0.04608202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695625926648237,"score_gpt":0.2923282273466665,"score_spread":0.2753719680801842,"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."}}