{"id":"W2591058303","doi":"10.1177/0961203317692437","title":"The prevalence and determinants of anti-DFS70 autoantibodies in an international inception cohort of systemic lupus erythematosus patients","year":2017,"lang":"en","type":"article","venue":"Lupus","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Manitoba; Centre hospitalier universitaire de Québec; Toronto Western Hospital; University Health Network; Dalhousie University; University of Toronto; Université Laval; Queen Elizabeth II Health Sciences Centre; McGill University Health Centre; University of Calgary","funders":"National Institute for Health and Care Research","keywords":"Medicine; Autoantibody; Cohort; Internal medicine; Odds ratio; Systemic lupus erythematosus; Logistic regression; Anti-nuclear antibody; Immunology; Antibody; 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":[0.0007743645,0.0001534287,0.0004766551,0.0001552563,0.0001514795,0.0000538298,0.0005135236,0.0001023101,0.00001139448],"category_scores_gemma":[0.0006543602,0.0001051816,0.00005774667,0.00006067876,0.0004345425,0.0003226955,0.0002414585,0.0001331444,0.000005175114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009279919,"about_ca_system_score_gemma":0.00007625538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073666,"about_ca_topic_score_gemma":0.0001327633,"domain_scores_codex":[0.9980155,0.0001065751,0.0006535847,0.0003049589,0.0006637461,0.0002556583],"domain_scores_gemma":[0.9979349,0.0001480378,0.0005760608,0.0008868539,0.0003727844,0.00008134315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914393,0.0001213411,0.992956,0.001799013,0.00003831173,0.00001666558,0.001281273,6.695609e-7,0.002138271,0.00006398442,0.00004315409,0.001349886],"study_design_scores_gemma":[0.002141155,0.0002083314,0.9876575,0.003607528,0.00004103713,0.003423624,0.0004497789,0.0009378497,0.001352447,0.00005249929,0.00002841779,0.00009977078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996224,0.00052817,0.000003605772,0.00003365864,0.001895971,0.0008740154,0.00002429656,0.00001461731,0.0004016571],"genre_scores_gemma":[0.9965872,0.001725709,0.0000555659,0.000003369563,0.00004613687,0.0000355328,0.000006511075,0.00001953709,0.001520414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00529843,"threshold_uncertainty_score":0.4289179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156289742813175,"score_gpt":0.3275064720381912,"score_spread":0.3059435746100594,"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."}}