{"id":"W4376132576","doi":"10.1002/acr.25143","title":"Development of American College of Rheumatology Quality Measures for Systemic Lupus Erythematosus: A Modified Delphi Process With Rheumatology Informatics System for Effectiveness (<scp>RISE</scp>) Registry Data Review","year":2023,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Centers for Disease Control and Prevention; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Medicine; Delphi method; Rheumatology; Internal medicine; Workgroup; Delphi; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4806548,0.001493899,0.002804423,0.01603384,0.003133367,0.004728374,0.004211926,0.00260554,0.003732383],"category_scores_gemma":[0.4340179,0.001587618,0.004617216,0.01087518,0.003482248,0.005515019,0.009805385,0.003550709,0.0008339838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01352193,"about_ca_system_score_gemma":0.06053569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153838,"about_ca_topic_score_gemma":0.005541074,"domain_scores_codex":[0.4047013,0.4707397,0.0806393,0.007421983,0.03172852,0.004769235],"domain_scores_gemma":[0.5324528,0.2628475,0.03219222,0.01711376,0.1498917,0.005501976],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001301043,0.0007775062,0.02313492,0.07027468,0.001731294,0.0007480528,0.0974756,0.007024943,0.00718991,0.02677898,0.05669509,0.7068681],"study_design_scores_gemma":[0.004328384,0.005591632,0.09214855,0.1680928,0.00312428,0.001691582,0.1445174,0.04048383,0.01480223,0.05670632,0.4668942,0.00161878],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.1055946,0.01758729,0.313361,0.04101916,0.001772965,0.490278,0.004250697,0.0006010801,0.02553515],"genre_scores_gemma":[0.1640948,0.006649868,0.4531695,0.005380211,0.0002729733,0.3675255,0.001812597,0.0001090738,0.0009855122],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5193452,"threshold_uncertainty_score":0.6404452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09546690452750105,"score_gpt":0.4042656478001941,"score_spread":0.3087987432726931,"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."}}