{"id":"W1923559986","doi":"10.3109/08916934.2015.1077233","title":"Mapping epitopes of U1-70K autoantibodies at single-amino acid resolution","year":2015,"lang":"en","type":"article","venue":"Autoimmunity","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Center for Research Resources; U.S. Public Health Service","keywords":"Epitope; Autoantibody; Epitope mapping; Ribonucleoprotein; Molecular biology; Antibody; Peptide; Amino acid; Biology; Immunology; RNA; Chemistry; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007674472,0.0001886656,0.0004617113,0.0001992582,0.000210981,0.00001484165,0.000217848,0.0001253179,0.0001826144],"category_scores_gemma":[0.0004879791,0.0001544793,0.0001500927,0.0003072554,0.0004149131,0.0001323197,0.0004290431,0.0003602256,0.000203694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975436,"about_ca_system_score_gemma":0.0001822374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382713,"about_ca_topic_score_gemma":0.00004125254,"domain_scores_codex":[0.9981475,0.0002072256,0.0004205161,0.0002116336,0.000595585,0.0004175811],"domain_scores_gemma":[0.9986738,0.0001339415,0.0001389651,0.0004841378,0.0003633782,0.0002057833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001505401,0.0009851601,0.07910372,0.0007004691,0.0003487637,0.0001327328,0.006237877,0.00002228652,0.8634468,0.001372569,0.01594497,0.03019926],"study_design_scores_gemma":[0.002144187,0.00161826,0.6396936,0.0005249279,0.0000714472,0.0002859077,0.00159855,0.001312294,0.1288493,0.0008907648,0.2226123,0.0003984478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662818,0.003636146,0.00008079506,0.002048413,0.000210572,0.0002324648,0.00002845993,0.00009343203,0.02738793],"genre_scores_gemma":[0.9837618,0.0002150752,0.001659802,0.0001647081,0.0001178603,0.000007761591,0.0001124683,0.0000198947,0.01394062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7345974,"threshold_uncertainty_score":0.6299483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200437218938578,"score_gpt":0.323155475239075,"score_spread":0.2031117533452172,"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."}}