{"id":"W2890692328","doi":"10.1002/art.40724","title":"Establishing Surrogate Kidney End Points for Lupus Nephritis Clinical Trials: Development and Validation of a Novel Approach to Predict Future Kidney Outcomes","year":2018,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurinia (Canada); SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"U.S. Food and Drug Administration; National Institutes of Health; American Society of Nephrology","keywords":"Lupus nephritis; Clinical trial; Medicine; Intensive care medicine; Kidney; Internal medicine","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2111046,0.001390885,0.00284069,0.004006606,0.0007103304,0.005293138,0.00158279,0.001575867,0.001377929],"category_scores_gemma":[0.2959039,0.0004630944,0.002567763,0.003769195,0.00130638,0.003023103,0.003249518,0.003085119,0.0004782777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668069,"about_ca_system_score_gemma":0.004462892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004078151,"about_ca_topic_score_gemma":0.0007571371,"domain_scores_codex":[0.801971,0.166394,0.01437146,0.004678977,0.01164357,0.0009409924],"domain_scores_gemma":[0.541262,0.3405314,0.08120131,0.01339647,0.02028746,0.003321222],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01299806,0.0009526554,0.6637375,0.006331633,0.01008281,0.000174771,0.0008533459,0.0186721,0.002591261,0.01152304,0.006699276,0.2653837],"study_design_scores_gemma":[0.01080978,0.0229182,0.5638078,0.005357031,0.009273836,0.001292024,0.000976719,0.2949214,0.009343697,0.04732817,0.03354989,0.0004214632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4248905,0.03911877,0.4878065,0.01345074,0.001064483,0.01077877,0.01065163,0.00091168,0.01132686],"genre_scores_gemma":[0.7720227,0.002711634,0.2110285,0.001836254,0.0007426165,0.007877049,0.003175497,0.00005591742,0.0005498579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7888954,"threshold_uncertainty_score":0.9728484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0844107495146621,"score_gpt":0.3775447473856889,"score_spread":0.2931339978710268,"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."}}