{"id":"W2173504618","doi":"10.2337/db15-0179","title":"Immunoproteomic Profiling of Antiviral Antibodies in New-Onset Type 1 Diabetes Using Protein Arrays","year":2015,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arizona State University; Université de Lyon; National Institutes of Health; University of Alberta; National Institute of Allergy and Infectious Diseases; University of Pittsburgh","keywords":"Immunology; Antibody; Type 1 diabetes; Virus; Odds ratio; Virology; Viral load; Medicine; Biology; Diabetes mellitus; Internal medicine","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":[0.000331484,0.0002390016,0.0003296046,0.0007160925,0.0001659729,0.0003928782,0.0001426958,0.0002852051,0.0003789747],"category_scores_gemma":[0.0003547693,0.0001366359,0.0002663806,0.0005579971,0.0001141857,0.0002184759,0.0002626224,0.0003430815,0.0001537301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206901,"about_ca_system_score_gemma":0.00007516272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003002131,"about_ca_topic_score_gemma":0.0003824618,"domain_scores_codex":[0.9997881,0.00005693078,0.00001699473,0.00005852951,0.00005417329,0.00002519638],"domain_scores_gemma":[0.9998286,0.0000476727,0.00005368263,0.0000141493,0.00003205704,0.00002386625],"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":[0.0004274207,0.00007270681,0.0578593,0.00007422154,0.0001181046,0.0001222826,0.00006101904,0.0004413329,0.9292217,0.00005138191,0.0001246904,0.01142575],"study_design_scores_gemma":[0.00003393559,0.0008027607,0.6383237,0.00002317479,0.0002251047,0.001540518,0.000197733,0.008930573,0.346965,0.0004462386,0.002474593,0.0000365698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924314,0.001530222,0.004730028,0.00007640677,0.00001664659,0.000018447,0.0008019198,0.00003871767,0.0003562757],"genre_scores_gemma":[0.9852507,0.0012056,0.0113507,0.000162013,0.00002845401,0.00004066842,0.001436456,0.00001304652,0.0005124376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007160925,"threshold_uncertainty_score":0.001753092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537808988058087,"score_gpt":0.2486580456985002,"score_spread":0.2332799558179193,"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."}}