{"id":"W2950456275","doi":"10.1136/annrheumdis-2019-eular.1146","title":"THU0688 ASSESSMENT OF THE QRISK2, QRISK3, SLE CARDIOVASCULAR RISK EQUATION, FRAMINGHAM AND MODIFIED FRAMINGHAM RISK CALCULATORS AS PREDICTORS OF CARDIOVASCULAR DISEASE EVENTS IN SYSTEMIC LUPUS ERYTHEMATOSUS","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Sanofi","keywords":"Framingham Risk Score; Medicine; Disease; Risk assessment; Internal medicine; Systemic risk; Cardiology; Computer science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.007611846,0.0007199953,0.001479816,0.0008766384,0.0005055062,0.001807317,0.000927887,0.001043998,0.003013741],"category_scores_gemma":[0.01107245,0.0004315973,0.001427492,0.001223794,0.0002172841,0.000778498,0.000762522,0.001534194,0.000997244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494216,"about_ca_system_score_gemma":0.001139664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005866537,"about_ca_topic_score_gemma":0.00623978,"domain_scores_codex":[0.9957528,0.002595746,0.0003931981,0.0004074441,0.0006773287,0.0001735377],"domain_scores_gemma":[0.9952863,0.002002157,0.0009929889,0.000546605,0.0008624074,0.0003095422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01050766,0.0006650662,0.9365813,0.0002123039,0.001470946,0.0001405315,0.000274186,0.001786476,0.0009286666,0.0006742172,0.005867417,0.04089123],"study_design_scores_gemma":[0.001232373,0.001808693,0.964642,0.0001263882,0.001914522,0.0003440266,0.0002272407,0.02076189,0.001009278,0.0006889413,0.007179409,0.00006528269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752237,0.002706798,0.004106475,0.0008983645,0.0002444285,0.0001877879,0.0108636,0.0002401427,0.005528668],"genre_scores_gemma":[0.9817216,0.0004723926,0.007782267,0.0002624666,0.0001544828,0.000252706,0.005352769,0.00006630988,0.003935079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007611846,"threshold_uncertainty_score":0.04025573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321613852136021,"score_gpt":0.287282596130944,"score_spread":0.2640664576095837,"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."}}