{"id":"W2409725731","doi":"10.1038/srep27623","title":"Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; Stanford Bio-X; Lupus Research Alliance; Canadian Institutes of Health Research; Ben May Charitable Trust; Sanofi; European Commission; Johns Hopkins University; Donald E. and Delia B. Baxter Foundation; National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Allergy and Infectious Diseases; Lupus Research Institute","keywords":"Autoantibody; Immunology; Multiplex; Medicine; Chemokine; Systemic lupus erythematosus; Lupus erythematosus; Antibody; DNA microarray; Biology; Internal medicine; Immune system; Bioinformatics; Disease; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325327,0.0002561432,0.0003091534,0.0004187025,0.000115804,0.0003016698,0.0001911054,0.000681386,0.0007114513],"category_scores_gemma":[0.0003780777,0.0001795744,0.0001529311,0.0002488279,0.0001288706,0.0001992625,0.0002351894,0.00032938,0.0003625889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018737,"about_ca_system_score_gemma":0.00008583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001757,"about_ca_topic_score_gemma":0.0005174433,"domain_scores_codex":[0.9996918,0.00007349531,0.00001802554,0.000087774,0.00008748836,0.0000413997],"domain_scores_gemma":[0.9998125,0.00007333362,0.00004838757,0.00001594215,0.0000295699,0.00002030607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008581333,0.00002477748,0.001540715,0.00003132487,0.000008435648,0.00004758727,0.00002451225,0.000179691,0.9937487,0.00005216335,0.0001346297,0.004121818],"study_design_scores_gemma":[0.00003336004,0.0007506858,0.0640248,0.00003434709,0.00006434389,0.00109477,0.0001802027,0.02205389,0.9070017,0.0005601626,0.004156894,0.00004486653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723245,0.002933042,0.02052552,0.0003710889,0.0001007046,0.00005589038,0.0008440368,0.0004048729,0.00244036],"genre_scores_gemma":[0.9735781,0.0007486464,0.02295522,0.0002522097,0.00003156883,0.00009426059,0.0003716499,0.00001255897,0.001955724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007114513,"threshold_uncertainty_score":0.002380013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346162592972212,"score_gpt":0.2949642048590553,"score_spread":0.2715025789293332,"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."}}