{"id":"W2528297397","doi":"10.1002/acr.23089","title":"Rheumatology Informatics System for Effectiveness: A National Informatics‐Enabled Registry for Quality Improvement","year":2016,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Agency for Healthcare Research and Quality","keywords":"Informatics; Health informatics; Rheumatology; Quality (philosophy); Computer science; Medicine; Internal medicine; Medical physics; Engineering; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004589641,0.0002361061,0.0006703902,0.0004231812,0.0005845977,0.0001394688,0.0003043109,0.0002110407,0.00003883261],"category_scores_gemma":[0.002983782,0.0001742165,0.0002607271,0.0002747035,0.0004378357,0.0004368988,0.0001640119,0.000270151,0.00008833512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007424628,"about_ca_system_score_gemma":0.00116303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109368,"about_ca_topic_score_gemma":0.0001205899,"domain_scores_codex":[0.9957806,0.0002730799,0.001083521,0.0002696678,0.001472476,0.001120608],"domain_scores_gemma":[0.9918897,0.002844652,0.0001986655,0.000530806,0.004178586,0.0003575891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005474462,0.0003064371,0.008726274,0.0202283,0.0006274409,0.00002182369,0.008092335,0.000005308765,0.01185103,0.0976695,0.01146142,0.8355356],"study_design_scores_gemma":[0.1633655,0.01823623,0.007820001,0.03319439,0.00002967422,0.001485639,0.1579265,0.001559726,0.1088801,0.01665285,0.4885881,0.002261207],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602565,0.005811607,0.01751075,0.001056012,0.0003908438,0.00890884,0.001216839,0.0002672674,0.00458141],"genre_scores_gemma":[0.9897506,0.003247387,0.00237781,0.00005471938,0.000090961,0.004084926,0.0001556372,0.00004447108,0.0001935058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8332744,"threshold_uncertainty_score":0.7104343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771682057788611,"score_gpt":0.3779634467814912,"score_spread":0.3402466262036051,"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."}}