{"id":"W2003810412","doi":"10.3899/jrheum.140318","title":"Projected Worldwide Disease Burden from Giant Cell Arteritis by 2050","year":2014,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; State Government of Victoria","keywords":"Medicine; Disease burden; Giant cell arteritis; Population; Disease; Global health; Incidence (geometry); Burden of disease; Environmental health; Public health; Health care; Demography; Gerontology; Pathology; Economic growth; Vasculitis","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":[0.0002159229,0.0001086852,0.0003711576,0.00008147465,0.00009382269,0.00001127741,0.0001592069,0.00007990502,0.0005194526],"category_scores_gemma":[0.0001252056,0.00006370467,0.000137853,0.00009574949,0.0001235451,0.00004833242,0.00002421362,0.0003977389,0.00008575989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229592,"about_ca_system_score_gemma":0.00008056888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003913035,"about_ca_topic_score_gemma":0.00001679588,"domain_scores_codex":[0.9988856,0.0002254758,0.0004295844,0.00008652871,0.0001770216,0.0001958027],"domain_scores_gemma":[0.9989445,0.0002083245,0.0002793805,0.0002353597,0.0001192361,0.0002132049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002602185,0.001181946,0.07705142,0.0003032086,0.002292306,0.000707544,0.00544297,0.000122439,0.05885672,0.001627654,0.8243903,0.02542129],"study_design_scores_gemma":[0.04925399,0.00440064,0.2969681,0.006103023,0.008281781,0.06229203,0.004199507,0.008350097,0.003346465,0.02742153,0.5276526,0.001730255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776959,0.002720206,0.0009497387,0.01724715,0.0003652309,0.0001302534,0.00002909261,0.00001988762,0.0008425539],"genre_scores_gemma":[0.9966346,0.002060592,0.0002566026,0.0003183386,0.00004614589,0.000002573154,0.00004070592,0.00001657893,0.0006238561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2967378,"threshold_uncertainty_score":0.5687642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005045624194195361,"score_gpt":0.2166136724419835,"score_spread":0.2115680482477881,"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."}}