{"id":"W2141500677","doi":"10.1093/rheumatology/keu326","title":"Anti-nucleosome antibodies outperform traditional biomarkers as longitudinal indicators of disease activity in systemic lupus erythematosus","year":2014,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network","funders":"Canadian Institutes of Health Research; Government of Ontario; University Health Network; University of Toronto; Arthritis Society; Ontario Institute for Cancer Research","keywords":"Medicine; Antibody; Anti-dsDNA antibodies; Biomarker; Immunology; Disease; Nucleosome; Antibody Repertoire; Autoantibody; Internal medicine; Histone; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009199025,0.0006569289,0.0004350871,0.0005395452,0.0002096433,0.0008451347,0.0003768931,0.0007550964,0.0007339906],"category_scores_gemma":[0.01422111,0.0001824471,0.0005174187,0.0004279891,0.0002348719,0.001005311,0.0005740227,0.000528814,0.0002523938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094621,"about_ca_system_score_gemma":0.0003235836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007620854,"about_ca_topic_score_gemma":0.001387637,"domain_scores_codex":[0.9970738,0.001793036,0.0002154314,0.0003431426,0.0004495039,0.0001250823],"domain_scores_gemma":[0.9895454,0.006057885,0.002472111,0.0006002181,0.0008695923,0.0004547332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460496,0.00008991882,0.981191,0.000034277,0.0003325888,0.00002254691,0.00006546995,0.0007643388,0.001288261,0.00003297911,0.00007723741,0.01464087],"study_design_scores_gemma":[0.00003158376,0.001854392,0.9857311,0.00002943936,0.0002021744,0.0001596391,0.00007572109,0.009904387,0.001374602,0.000145362,0.0004784094,0.00001336103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961153,0.001743705,0.001572262,0.00006989775,0.00002255715,0.00001386892,0.0001214516,0.00001813828,0.0003228801],"genre_scores_gemma":[0.9989707,0.0001266319,0.0006574984,0.00002184304,0.00001858904,0.000005055461,0.00008930511,0.000002018074,0.0001083424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009199025,"threshold_uncertainty_score":0.04864967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658378574543725,"score_gpt":0.2875195252214571,"score_spread":0.2609357394760199,"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."}}