{"id":"W2970241796","doi":"10.1002/art.41089","title":"Comprehensive Profiling of the Rheumatoid Arthritis Antibody Repertoire","year":2019,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Epitope; Biomarker; Autoantibody; Human proteome project; Cohort; Medicine; Antibody; Rheumatoid arthritis; Peptide; Proteome; Immunology; Internal medicine; Biology; Bioinformatics; Proteomics; Biochemistry; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002820482,0.000370625,0.001304451,0.0002228084,0.0002709886,0.00003958196,0.0004111459,0.0002496126,0.0009070216],"category_scores_gemma":[0.0002964969,0.0002918909,0.0004162285,0.0004929023,0.0008826902,0.0002277932,0.0002855655,0.000592968,0.0004807688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003998955,"about_ca_system_score_gemma":0.0003729669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140832,"about_ca_topic_score_gemma":0.00008818835,"domain_scores_codex":[0.9964862,0.0002978732,0.001039377,0.0006466234,0.0006705343,0.0008593883],"domain_scores_gemma":[0.9974448,0.0003248951,0.0003375181,0.00119832,0.0004619231,0.0002325244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004765492,0.0003959324,0.7895266,0.0003438358,0.0003758932,0.0001362208,0.0008830043,0.00001055302,0.1104633,0.0265235,0.001390861,0.06947375],"study_design_scores_gemma":[0.05691021,0.005121341,0.2976034,0.02935529,0.00002229869,0.05739295,0.00786991,0.001550058,0.2848318,0.01122736,0.2451972,0.00291821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397632,0.05362593,0.00004036551,0.001431799,0.0007947346,0.001276521,0.00003553811,0.0001390853,0.002892859],"genre_scores_gemma":[0.8613881,0.1373797,0.0006683884,0.0002429337,0.00001439987,0.00005169408,0.00005407096,0.00006140924,0.0001392382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4919233,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029270310208317,"score_gpt":0.2693536379023682,"score_spread":0.259060934800285,"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."}}