{"id":"W2187095275","doi":"10.3899/jrheum.181072","title":"Update on Outcome Measure Development in Large-vessel Vasculitis: Report from OMERACT 2018","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Center for Research Resources; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute for Health and Care Research; Rare Diseases Clinical Research Network","keywords":"Measure (data warehouse); Vasculitis; Medicine; Computer science; Pathology; Data mining; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00110265,0.0001431591,0.0006401392,0.0001895156,0.000065918,0.000008004791,0.0001752767,0.0001623793,0.0008680644],"category_scores_gemma":[0.0001836283,0.00008331762,0.0001612669,0.0001391312,0.00004044015,0.00007768905,0.00003423787,0.0007455102,0.0005401655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101617,"about_ca_system_score_gemma":0.0002592587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131901,"about_ca_topic_score_gemma":0.00005836648,"domain_scores_codex":[0.9980644,0.000171587,0.001002501,0.0001327077,0.0003614041,0.0002674085],"domain_scores_gemma":[0.9987137,0.0001767369,0.0005086529,0.0003511942,0.0001448896,0.0001048487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003556216,0.0003475961,0.9860491,0.00003863371,0.001024804,0.0008667069,0.001245165,0.0000670982,0.0002295045,0.0006787334,0.007812575,0.001284527],"study_design_scores_gemma":[0.009390243,0.0002968975,0.872205,0.001327037,0.0003100393,0.0498137,0.0008990514,0.00004388454,0.0002847467,0.0009462658,0.06422,0.0002631389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909584,0.001123877,0.0001746915,0.005662885,0.0009203154,0.0001738687,0.000004845554,0.00001205101,0.0009690907],"genre_scores_gemma":[0.9979277,0.000829435,0.0003537569,0.000480333,0.00001668092,0.000002412418,0.0000220254,0.00001768156,0.0003499238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.113844,"threshold_uncertainty_score":0.9504697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501203542721143,"score_gpt":0.2682742365569609,"score_spread":0.2532622011297495,"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."}}