{"id":"W2947496942","doi":"10.1136/annrheumdis-2019-eular.7272","title":"AB0283 IDENTIFICATION OF NEW AUTOANTIBODIES FOR RHEUMATOID ARTHRITIS USING HUMAN PROTEOME MICROARRAYS","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; University of British Columbia; National Natural Science Foundation of China","keywords":"Medicine; Autoantibody; Rheumatoid arthritis; Identification (biology); Proteome; Computational biology; DNA microarray; Arthritis; Immunology; Bioinformatics; Antibody; Genetics; Gene expression; Biology; Gene","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":[0.0004365737,0.0005238006,0.000506848,0.0007911933,0.0004713677,0.0006130782,0.0002795911,0.0004650344,0.002732005],"category_scores_gemma":[0.0004071077,0.0002420278,0.0005237802,0.000845011,0.0001199023,0.0002173771,0.0002584826,0.0006387639,0.001416339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504039,"about_ca_system_score_gemma":0.000344341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064367,"about_ca_topic_score_gemma":0.002550562,"domain_scores_codex":[0.9995028,0.00008326647,0.00003870574,0.000133012,0.0001587462,0.00008355506],"domain_scores_gemma":[0.999841,0.00004180312,0.00002139,0.00001449275,0.00005999516,0.00002146487],"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":[0.0002124968,0.00006390863,0.001666269,0.0001206808,0.00005371765,0.00008117461,0.0000286095,0.0001403863,0.9891382,0.0001034863,0.0008509539,0.007540194],"study_design_scores_gemma":[0.00009230072,0.0007299809,0.08418026,0.00006663729,0.0003274452,0.001504723,0.0001764787,0.01012703,0.8592715,0.0004724983,0.04300822,0.00004291514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460221,0.008039925,0.02416616,0.0009605298,0.0004067569,0.0002198757,0.00835215,0.0006866797,0.01114573],"genre_scores_gemma":[0.8981977,0.00532015,0.05909888,0.001365924,0.0002166607,0.0005434225,0.02137249,0.0001104173,0.01377443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002732005,"threshold_uncertainty_score":0.009139478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07472407226452016,"score_gpt":0.3744491657215693,"score_spread":0.2997250934570492,"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."}}