{"id":"W3014697832","doi":"10.1093/rheumatology/keaa095","title":"Incidence and prevalence of giant cell arteritis in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; NOSM University; Laurentian University; University of Toronto; St Joseph's Health Care; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Western University","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Giant cell arteritis; Incidence (geometry); Arteritis; Dermatology; Internal medicine; Vasculitis; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006461359,0.0003097305,0.0002893677,0.002554514,0.001251549,0.0008508539,0.0009378845,0.0002686255,0.001485162],"category_scores_gemma":[0.003118029,0.0003004507,0.0005357366,0.003643789,0.0005703094,0.0003857546,0.0004904285,0.0003606248,0.0001612925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02986414,"about_ca_system_score_gemma":0.02982108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940188,"about_ca_topic_score_gemma":0.995516,"domain_scores_codex":[0.9986957,0.00006303242,0.00009285431,0.0001429272,0.0007495154,0.0002559361],"domain_scores_gemma":[0.99653,0.0001377456,0.0009394779,0.00005155139,0.001955286,0.0003860592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003438111,0.00001271308,0.9927825,0.0001171534,0.00007177696,0.00009399706,0.0003473939,0.0001752352,0.0001638708,0.00007188211,0.002527108,0.003601962],"study_design_scores_gemma":[0.000005815199,0.00001122396,0.9979661,0.0000520685,0.00003039589,0.00008672859,0.0002738922,0.0002071892,0.00003284815,0.00001835177,0.001309452,0.000006058256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475366,0.006235139,0.0005190024,0.001214989,0.00005053845,0.0001316176,0.03602628,0.00009646671,0.008189397],"genre_scores_gemma":[0.9904419,0.00225081,0.0005561513,0.0001758226,0.00001784466,0.00003870304,0.005339128,0.0000122976,0.001167486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02986414,"threshold_uncertainty_score":0.2166805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008802774575844972,"score_gpt":0.2031645220938355,"score_spread":0.1943617475179905,"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."}}