{"id":"W2129693031","doi":"10.1371/journal.pone.0064555","title":"Characterization of Influenza Vaccine Immunogenicity Using Influenza Antigen Microarrays","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Science Foundation; Lupus Research Alliance; Canadian Institutes of Health Research; National Institute of Allergy and Infectious Diseases; European Commission; U.S. Public Health Service; National Center for Research Resources; Georgia Clinical and Translational Science Alliance; Donald E. and Delia B. Baxter Foundation; Stanford Center on Longevity; National Institutes of Health","keywords":"Immunogenicity; Epitope; Influenza vaccine; Virology; Antibody; Antigen; Antibody titer; Multiplex; Hemagglutinin (influenza); Influenza A virus; Original antigenic sin; Titer; Neutralization; Antigenic drift; Vaccination; Immunology; Biology; Medicine; Virus; Bioinformatics","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":[0.0008804771,0.0003701069,0.000384869,0.0004231221,0.0001376618,0.0003159636,0.0002627716,0.0003185096,0.0008828247],"category_scores_gemma":[0.001004933,0.000140543,0.0003322709,0.0003536098,0.0001348115,0.0002670832,0.0001589216,0.000430112,0.0004517931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415177,"about_ca_system_score_gemma":0.0001784929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005774337,"about_ca_topic_score_gemma":0.0006604097,"domain_scores_codex":[0.9996306,0.0000713577,0.0000242686,0.0001115226,0.0001203599,0.00004181195],"domain_scores_gemma":[0.9995489,0.0002328817,0.00006865428,0.00002682143,0.0001044325,0.00001843623],"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":[0.0003233246,0.0001427663,0.02791595,0.0001425749,0.00009428027,0.0000620673,0.0000993931,0.006826303,0.934266,0.0002370247,0.0003201061,0.02957016],"study_design_scores_gemma":[0.00002584014,0.001342549,0.1472201,0.00002156066,0.0001328482,0.000288174,0.0001110047,0.15656,0.6896859,0.0008265128,0.00373546,0.00005000942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227498,0.0008305642,0.07304543,0.00010562,0.00003485592,0.00009399511,0.001487298,0.0002813198,0.001371004],"genre_scores_gemma":[0.9287924,0.0006335187,0.0667985,0.0001034529,0.00003440627,0.0003047002,0.002050634,0.00003122657,0.001251116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008828247,"threshold_uncertainty_score":0.004656494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539517704109968,"score_gpt":0.3375653506366496,"score_spread":0.1836135802256527,"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."}}