{"id":"W4294024802","doi":"10.3899/jrheum.220084","title":"Incidence and Prevalence of Polymyalgia Rheumatica and Giant Cell Arteritis in a Healthcare Management Organization in Buenos Aires, Argentina","year":2022,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Polymyalgia rheumatica; Giant cell arteritis; Incidence (geometry); Rheumatology; Internal medicine; Population; Epidemiology; Pediatrics; Vasculitis; Disease","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":[0.0003790214,0.0003280615,0.0002147241,0.001054356,0.0003110381,0.0004896823,0.0003188012,0.0002763252,0.001250251],"category_scores_gemma":[0.000948831,0.0001923227,0.0001656796,0.000834066,0.0001871623,0.0003037612,0.0002951906,0.0002562592,0.0001728248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102103,"about_ca_system_score_gemma":0.0005366415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0696388,"about_ca_topic_score_gemma":0.06771262,"domain_scores_codex":[0.9995288,0.0001249819,0.00005242064,0.0001119438,0.00009684234,0.0000850463],"domain_scores_gemma":[0.9991487,0.00006390655,0.0005105422,0.00001736207,0.0001235551,0.0001359764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002346157,0.00003014473,0.9972257,0.00002579035,0.0000225455,0.00006791549,0.0001195223,0.0000412485,0.0001027104,0.00002013931,0.0004551823,0.001865682],"study_design_scores_gemma":[0.000005452409,0.00002089797,0.9990387,0.00001629935,0.00000936219,0.0001305084,0.000237703,0.0001022268,0.00001697534,0.000005663821,0.0004149533,0.000001274007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944453,0.001354736,0.0001383869,0.0002874653,0.00001246143,0.00003300012,0.001917373,0.00001081253,0.001800626],"genre_scores_gemma":[0.9974495,0.0006638051,0.0002624413,0.00004454042,0.00002177125,0.00003712254,0.001120425,0.000001811253,0.0003985963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0696388,"threshold_uncertainty_score":0.1384669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004973479659028149,"score_gpt":0.2206854889862455,"score_spread":0.2157120093272173,"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."}}