{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006838106,0.0003705834,0.001005421,0.0009377516,0.0006326985,0.00003620461,0.001105521,0.00006315054,0.0007489637],"category_scores_gemma":[0.001048956,0.000234184,0.000142719,0.003419281,0.000931633,0.0001844822,0.0005415539,0.0004439382,0.00001293482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549317,"about_ca_system_score_gemma":0.0006618965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005249553,"about_ca_topic_score_gemma":0.0006492382,"domain_scores_codex":[0.9918941,0.00125368,0.001228651,0.001056879,0.00375854,0.0008081135],"domain_scores_gemma":[0.9963404,0.001125248,0.0003492137,0.001678455,0.0001635565,0.000343162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04070747,0.001335376,0.9132819,0.00006115469,0.0001662878,0.0006501299,0.03681814,0.0001746179,0.0014714,0.0001220612,0.002799914,0.002411527],"study_design_scores_gemma":[0.3149946,0.04508365,0.3495915,0.002034978,0.0011757,0.01217099,0.2512697,0.002063547,0.0001461316,0.0003651447,0.02029516,0.000808953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783874,0.001377339,0.00001001408,0.005999174,0.006928056,0.006326875,0.00005116464,0.00007159575,0.0008483517],"genre_scores_gemma":[0.9916204,0.0001559116,0.00005307983,0.0001950875,0.0004634806,0.001067499,0.00004050002,0.00003756818,0.006366454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5636904,"threshold_uncertainty_score":0.9549748,"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."}}