{"id":"W2934308277","doi":"10.1093/rheumatology/kez059.016","title":"139. UTILIZATION OF CANADIAN HEALTHCARE ADMINISTRATIVE DATABASES TO ACCURATELY IDENTIFY CASES OF ANCA-ASSOCIATED VASCULITIS","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; University of Ottawa; St. Joseph's Hospital; McMaster University","funders":"","keywords":"Medicine; ANCA-Associated Vasculitis; Vasculitis; Health care; Database; Dermatology; Intensive care medicine; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003433473,0.0005066635,0.0005802806,0.01119635,0.002385945,0.002375441,0.001811683,0.0005849891,0.004421494],"category_scores_gemma":[0.02918336,0.000472362,0.0009242324,0.0163049,0.0003260256,0.0007333153,0.001206551,0.0004202746,0.0009177532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02368097,"about_ca_system_score_gemma":0.05226316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9647985,"about_ca_topic_score_gemma":0.966162,"domain_scores_codex":[0.9939128,0.000714712,0.001345925,0.0008013396,0.00245961,0.0007655421],"domain_scores_gemma":[0.9736163,0.003921826,0.005893438,0.001134569,0.01391622,0.001517703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000175451,0.00006945573,0.8836462,0.001845785,0.0002933105,0.0003310774,0.0005348466,0.0008284119,0.0002406755,0.001034403,0.05142384,0.05957649],"study_design_scores_gemma":[0.00004351725,0.00003436206,0.9715427,0.0008929697,0.0001639821,0.0003441889,0.0007009166,0.002584082,0.0002996471,0.0001785909,0.0231793,0.00003576635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3875165,0.01344641,0.001753449,0.004388064,0.0002164023,0.00181175,0.5286877,0.0004158717,0.06176382],"genre_scores_gemma":[0.8622426,0.004392396,0.007307147,0.0009738863,0.00006070366,0.0005827988,0.1222652,0.0000482291,0.002126863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03520155,"threshold_uncertainty_score":0.1718183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121943557535209,"score_gpt":0.3744981687037912,"score_spread":0.2525546111685822,"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."}}