{"id":"W4388041144","doi":"10.1136/ard-2023-224571","title":"Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying","year":2023,"lang":"en","type":"review","venue":"Annals of the Rheumatic Diseases","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Research Board; Science Foundation Ireland; Engineering and Physical Sciences Research Council; Wellcome Trust; Crafoordska Stiftelsen; Health Service Executive; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; Vetenskapsrådet; European Regional Development Fund; European Commission; Canadian Institute for Theoretical Astrophysics","keywords":"Medicine; Granulomatosis with polyangiitis; SPARQL; Vasculitis; Database; Internal medicine; Computer science; Information retrieval; Disease; Semantic Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2835569,0.000598945,0.002550123,0.01175488,0.0007763911,0.006809831,0.00284113,0.001404033,0.000772715],"category_scores_gemma":[0.4094941,0.0006794239,0.00585132,0.02349206,0.001932125,0.005297828,0.005754897,0.001100245,0.0001525728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044002,"about_ca_system_score_gemma":0.006158392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006943049,"about_ca_topic_score_gemma":0.003803502,"domain_scores_codex":[0.6164262,0.2741993,0.06189541,0.01887415,0.02679837,0.001806541],"domain_scores_gemma":[0.4992713,0.3197372,0.09748083,0.05400786,0.02814656,0.001356177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002395629,0.0001785971,0.8110603,0.004253913,0.01202711,0.0001835144,0.003176036,0.01355883,0.0009026384,0.005512353,0.002480946,0.1442701],"study_design_scores_gemma":[0.001618351,0.001834616,0.8565775,0.008455227,0.01422649,0.001907809,0.005337168,0.05218328,0.008528478,0.02257066,0.02626623,0.0004941123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8176915,0.02577934,0.1224121,0.006503568,0.0001780524,0.001876924,0.020824,0.0006183102,0.00411623],"genre_scores_gemma":[0.9316124,0.001806189,0.05372538,0.0007139074,0.00006297961,0.0009204597,0.01095856,0.00009318628,0.0001069791],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2835569,"threshold_uncertainty_score":0.8835019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2853179939297043,"score_gpt":0.4177101496896178,"score_spread":0.1323921557599135,"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."}}