{"id":"W2930092561","doi":"10.1093/rheumatology/kez057.019","title":"020. IDENTIFICATION OF TARGET ANTIGENS FOR ANTI-ENDOTHELIAL CELL ANTIBODIES IN PATIENTS WITH TAKAYASU’S ARTERITIS USING PROTEOMICS","year":2019,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph's Hospital; Mount Sinai Hospital","funders":"","keywords":"Medicine; Takayasu arteritis; Antigen; Arteritis; Antibody; Identification (biology); Proteomics; Immunology; Takayasu's arteritis; Pathology; Vasculitis; Disease; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004404509,0.0004029745,0.0002600795,0.0008870203,0.0003028475,0.0004296424,0.00020222,0.0005815712,0.001791583],"category_scores_gemma":[0.0008726431,0.0001584314,0.0002893338,0.0005494226,0.0001987453,0.0003206597,0.0002018284,0.0003291696,0.0004161867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386425,"about_ca_system_score_gemma":0.00008068485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004029596,"about_ca_topic_score_gemma":0.0002593508,"domain_scores_codex":[0.9997352,0.00004757864,0.00004073251,0.00007139458,0.00006299761,0.00004199721],"domain_scores_gemma":[0.9996262,0.0001039869,0.0001078227,0.0000176382,0.00008219696,0.00006217565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008442575,0.0001800742,0.9335483,0.000116739,0.0001471636,0.003811274,0.0002652642,0.0001037072,0.04684941,0.00005387269,0.0004010592,0.01367892],"study_design_scores_gemma":[0.00003694057,0.0003983718,0.9829057,0.00001622763,0.0001149849,0.009069107,0.0002749176,0.0009208152,0.005436135,0.00009623136,0.0007218173,0.0000088189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984158,0.0005041573,0.0003920396,0.00005124974,0.00001895758,0.000007501791,0.00009496153,0.00001134,0.0005038864],"genre_scores_gemma":[0.9991879,0.00009634254,0.0004108346,0.00004290409,0.00001879234,0.000005155495,0.0001140711,0.000002647494,0.0001212544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001791583,"threshold_uncertainty_score":0.005993485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008663581409506994,"score_gpt":0.2326274225017146,"score_spread":0.2239638410922077,"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."}}