{"id":"W2949292483","doi":"10.1136/annrheumdis-2019-eular.4179","title":"FRI0519 IDENTIFICATION OF CELLULAR TARGETS FOR ANTI-CITRULLINATED PROTEIN ANTIBODIES (ACPAS)","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Foundation for Research in Rheumatology; Dutch Arthritis Society; Arthritis Society; Eli Lilly and Company","keywords":"Autoantibody; Citrullination; Medicine; Neutrophil extracellular traps; Antigen; Antibody; clone (Java method); Molecular biology; Immunology; Biology; Cell biology; Inflammation; Citrulline; Biochemistry","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":[0.0002618341,0.0004425731,0.0003006,0.0008880944,0.0003464217,0.0006696181,0.0005187031,0.0007912589,0.005753391],"category_scores_gemma":[0.0004367684,0.0002082501,0.0005850047,0.0002960358,0.0001767697,0.0002482126,0.0003857501,0.000707528,0.001990394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007082789,"about_ca_system_score_gemma":0.0002017413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143941,"about_ca_topic_score_gemma":0.001543669,"domain_scores_codex":[0.9995535,0.00006532533,0.00003063884,0.00009333224,0.00008355356,0.000173611],"domain_scores_gemma":[0.9998127,0.00004390317,0.00002716019,0.00002681173,0.00003959903,0.00004986785],"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":[0.0003426409,0.00007209525,0.001286639,0.000059199,0.00002565565,0.0004187689,0.00002634831,0.00006959711,0.9934497,0.0002702418,0.0002051481,0.003773958],"study_design_scores_gemma":[0.00008681911,0.0007778055,0.03804622,0.00002427118,0.00008375374,0.003602265,0.000175958,0.0033697,0.9394882,0.0002418593,0.01409053,0.0000125843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796939,0.005071801,0.004769174,0.0002507808,0.0001339052,0.00008749758,0.0006642096,0.0001172815,0.009211353],"genre_scores_gemma":[0.9914525,0.0009110476,0.002805666,0.0001636414,0.00004927047,0.00005067248,0.0009702134,0.00001896411,0.003578045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005753391,"threshold_uncertainty_score":0.01924706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033118083286173,"score_gpt":0.3265349959192767,"score_spread":0.2934169126331037,"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."}}