{"id":"W4379600756","doi":"10.2196/45943","title":"Global, Regional, and National Prevalence of Gout From 1990 to 2019: Age-Period-Cohort Analysis With Future Burden Prediction","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gout; Incidence (geometry); Cohort; Demography; Epidemiology; Cohort study; Cohort effect; Rate ratio; Disease burden; Prevalence; Disease; Confidence interval; Internal medicine","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":[0.008719356,0.000727465,0.0005604209,0.001704283,0.0004188338,0.0009497581,0.0009892838,0.0006198209,0.00236154],"category_scores_gemma":[0.008360861,0.0004338322,0.003279258,0.001549946,0.0002877723,0.0005910075,0.001424594,0.00151942,0.0004427806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364923,"about_ca_system_score_gemma":0.001370352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05246586,"about_ca_topic_score_gemma":0.02385829,"domain_scores_codex":[0.9987489,0.0005259516,0.00008047404,0.0003840766,0.0001189902,0.0001416652],"domain_scores_gemma":[0.9966552,0.001435729,0.0006369471,0.0006033232,0.000464775,0.0002039892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005290312,0.00007140396,0.9665934,0.00008244907,0.001223862,0.000187303,0.0001543242,0.02024188,0.0001465567,0.0008317822,0.001941669,0.007996404],"study_design_scores_gemma":[0.0001144232,0.000317846,0.707908,0.0001333394,0.001887375,0.0004057926,0.0003284205,0.2817942,0.0002386724,0.00175439,0.005066881,0.00005076041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609782,0.001246426,0.01869557,0.0005306134,0.00009665763,0.0002748941,0.01682178,0.0001500559,0.001205796],"genre_scores_gemma":[0.9782048,0.0004092402,0.00809157,0.00006446549,0.00003739055,0.0002620019,0.01218526,0.00003019432,0.0007151032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05246586,"threshold_uncertainty_score":0.1043209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031857080581508,"score_gpt":0.3003863334053062,"score_spread":0.2800677625994912,"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."}}