{"id":"W3012499363","doi":"10.1101/cshperspect.a038596","title":"Systems Biological Analysis of Immune Response to Influenza Vaccination","year":2020,"lang":"en","type":"article","venue":"Cold Spring Harbor Perspectives in Medicine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Institutes of Health; Emory University","keywords":"Vaccination; Immunogenicity; Reverse vaccinology; Immunity; Immune system; Influenza vaccine; Computational biology; Biology; Immunology; Virology; Antigen","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110587,0.0003551118,0.0005663373,0.0004921767,0.0002367011,0.0008379738,0.0004206207,0.0004815357,0.001543989],"category_scores_gemma":[0.0009309771,0.0001809268,0.0005602805,0.000184858,0.000749385,0.0007480016,0.0004741213,0.001103451,0.0003386611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036786,"about_ca_system_score_gemma":0.0006201398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007736196,"about_ca_topic_score_gemma":0.0005887403,"domain_scores_codex":[0.9996256,0.0001700141,0.00001996335,0.00005752208,0.00009125889,0.00003552817],"domain_scores_gemma":[0.9997486,0.0001470014,0.00002928089,0.00002217314,0.0000404913,0.00001231893],"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":[0.0002361881,0.0001865263,0.005024771,0.002384815,0.0003502194,0.0003512687,0.0005336701,0.05243383,0.6231557,0.215246,0.004484177,0.09561297],"study_design_scores_gemma":[0.00008415897,0.001700622,0.0108433,0.0003765231,0.0003089062,0.0007673039,0.0005947342,0.3058135,0.3145253,0.2043262,0.1604778,0.0001816589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2012048,0.09197885,0.6466182,0.007689222,0.001419091,0.0006344661,0.0009027658,0.001227276,0.04832528],"genre_scores_gemma":[0.8558865,0.04363821,0.09000684,0.001540617,0.0004651858,0.000425127,0.0006451306,0.0001219489,0.007270439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001543989,"threshold_uncertainty_score":0.007522523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224601998204231,"score_gpt":0.4049403863746374,"score_spread":0.2824801865542143,"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."}}