{"id":"W4281746658","doi":"10.1136/lupus-2021-000584","title":"Predictors of treatment response in a lupus nephritis population: lessons from the Aspreva Lupus Management Study (ALMS) trial","year":2022,"lang":"en","type":"article","venue":"Lupus Science & Medicine","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurinia (Canada)","funders":"Medical Research Council; Manchester Biomedical Research Centre; University of Birmingham; University of Manchester; University of Bath; University of Leeds; National Institute for Health and Care Research; Sanofi; Genentech; Sandwell and West Birmingham Hospitals NHS Trust; University College London; Imperial College London; Eli Lilly and Company; AstraZeneca; King's College London","keywords":"Medicine; Lupus nephritis; Systemic lupus erythematosus; Internal medicine; Cohort; Receiver operating characteristic; Logistic regression; Population; Gastroenterology; Disease","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":[0.01919759,0.0004818189,0.001695817,0.0003087764,0.0002379162,0.001464577,0.0005188529,0.0006502836,0.001199002],"category_scores_gemma":[0.02448711,0.0002003379,0.001003554,0.0007118888,0.0004500776,0.001076713,0.0005656397,0.002217477,0.0001946561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989892,"about_ca_system_score_gemma":0.0005147409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004934613,"about_ca_topic_score_gemma":0.0007365232,"domain_scores_codex":[0.9906123,0.007808357,0.000464194,0.0004909157,0.0004678584,0.0001563312],"domain_scores_gemma":[0.9744805,0.01625181,0.005422758,0.001720206,0.000909854,0.001214789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02686154,0.0003575528,0.8626801,0.0008506367,0.006481864,0.0002942802,0.0003956834,0.004338783,0.0006387425,0.001119764,0.01178767,0.08419329],"study_design_scores_gemma":[0.007838727,0.007348656,0.9362825,0.001235961,0.005908281,0.0009010285,0.0005940171,0.02206654,0.0006488851,0.006266907,0.01076922,0.0001391809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587119,0.0265884,0.001800749,0.00907912,0.0002121764,0.00005388605,0.001350725,0.00003614376,0.00216691],"genre_scores_gemma":[0.9931166,0.002566024,0.001206497,0.0009850399,0.0006199754,0.0000602189,0.001214582,0.00002111495,0.0002099338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01919759,"threshold_uncertainty_score":0.1015278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474695270629796,"score_gpt":0.3575241665911567,"score_spread":0.3100546395281771,"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."}}