{"id":"W2789401293","doi":"10.1002/acr.23531","title":"Measuring Disease Damage and Its Severity in Childhood‐Onset Systemic Lupus Erythematosus","year":2018,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Liverpool; National Institute for Health and Care Research; Cincinnati Children’s Research Foundation","keywords":"Medicine; Internal medicine; Rheumatology; Severity of illness; Visual analogue scale; Disease; Systemic lupus erythematosus; Age of onset; Physical therapy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002565076,0.000323453,0.0006901876,0.0009425539,0.0004488289,0.0001611349,0.0003956563,0.0002058336,0.0001753262],"category_scores_gemma":[0.001621398,0.0003100241,0.0001171613,0.00115116,0.0005578259,0.0002726289,0.0006300544,0.001033687,0.000581125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588183,"about_ca_system_score_gemma":0.0008596636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307097,"about_ca_topic_score_gemma":0.0006561655,"domain_scores_codex":[0.9938492,0.0008909002,0.000626425,0.0009945967,0.002194584,0.001444323],"domain_scores_gemma":[0.9960387,0.0004139976,0.00006369557,0.001045847,0.001395515,0.001042215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006608287,0.0002729695,0.9548925,0.003738319,0.00006669979,0.003610226,0.02170785,6.080866e-7,0.001804004,0.0003322214,0.002102897,0.01081089],"study_design_scores_gemma":[0.03983646,0.002653565,0.5879805,0.06260794,0.00009951224,0.1772273,0.1101793,0.001596711,0.007767821,0.00130903,0.006402288,0.002339549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567265,0.03669652,0.000003094422,0.0005386791,0.0002590783,0.002266703,0.00007920776,0.000127249,0.003302981],"genre_scores_gemma":[0.9954738,0.002654029,0.00005202828,0.00007111419,0.0004433305,0.0003217974,0.00003504619,0.00009651116,0.0008523224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366912,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722075820815064,"score_gpt":0.329274743834719,"score_spread":0.2820539856265684,"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."}}