{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002464782,0.0002340038,0.0006779895,0.0002775249,0.0001397332,0.00003049167,0.0001750113,0.0001333924,0.0006266782],"category_scores_gemma":[0.0004849122,0.000211971,0.0001054395,0.0004482965,0.0001047919,0.0003744152,0.0001988184,0.0002779723,0.0002570485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315343,"about_ca_system_score_gemma":0.0001269309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004905076,"about_ca_topic_score_gemma":0.000003828745,"domain_scores_codex":[0.9978331,0.0000712683,0.0006731555,0.0002964169,0.0006530998,0.0004729545],"domain_scores_gemma":[0.9979382,0.00005329897,0.0002610661,0.0005467103,0.001056152,0.0001445742],"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":[0.0002162725,0.0007448568,0.1980813,0.0003493155,0.0007035963,0.000002485937,0.0003470139,0.000001826507,0.7992834,0.00001040103,0.00001900055,0.0002405754],"study_design_scores_gemma":[0.001467378,0.0001635184,0.3514342,0.0003830593,0.0001537529,0.000002941607,0.00005164489,0.0003512323,0.6455894,0.00001505789,0.0002410773,0.0001467706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972261,0.0007548219,0.00004474408,0.0001395183,0.00002011549,0.001283575,0.00003584824,0.0000803353,0.0004149485],"genre_scores_gemma":[0.9937692,0.0003345986,0.003740492,0.001683741,0.0001832124,0.00006793231,0.0000324461,0.00005760473,0.0001308072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153694,"threshold_uncertainty_score":0.8643927,"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."}}