{"id":"W2626155976","doi":"10.3899/jrheum.161128","title":"Urine Biomarkers to Predict Response to Lupus Nephritis Therapy in Children and Young Adults","year":2017,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"National Center for Research Resources; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Lupus nephritis; Internal medicine; Vitamin D-binding protein; Biomarker; Transferrin; Hepcidin; Ceruloplasmin; Proteinuria; Gastroenterology; Urine; Endocrinology; Rheumatology; Renal biopsy; Vitamin D and neurology; Anemia; Kidney; 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":[0.002803578,0.0001495053,0.0005831909,0.0004564509,0.0001518166,0.00003643046,0.000541342,0.0001023885,0.00003422342],"category_scores_gemma":[0.001960618,0.00009277389,0.00006223507,0.0001353007,0.000179116,0.00009520451,0.0001844992,0.0003127929,0.00001900832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000841031,"about_ca_system_score_gemma":0.0001643693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130292,"about_ca_topic_score_gemma":0.0003190578,"domain_scores_codex":[0.9980481,0.0004733005,0.0005775143,0.0001585252,0.0003800405,0.0003625321],"domain_scores_gemma":[0.9982209,0.0003621322,0.0003028586,0.000618009,0.0001863058,0.0003098375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02441225,0.00004923339,0.9601828,0.00003088366,0.0001866544,0.00007803401,0.003328906,0.000001013717,0.001339021,0.000006848396,0.00530433,0.005080006],"study_design_scores_gemma":[0.006331034,0.001328438,0.6273407,0.00103397,0.00001413735,0.3628238,0.0005210872,0.00001532628,0.0001452361,0.0000293872,0.0003438568,0.00007296819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836419,0.001363146,0.00002615759,0.01375439,0.0003938894,0.0007265981,0.000005650911,0.000009328064,0.00007890003],"genre_scores_gemma":[0.9965749,0.002765273,0.0002035547,0.0001814626,0.00002481351,0.000008830742,5.287263e-7,0.00002481966,0.000215799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3627458,"threshold_uncertainty_score":0.3783209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258010535332959,"score_gpt":0.2917655544125608,"score_spread":0.2791854490592312,"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."}}