{"id":"W2115753045","doi":"10.1093/infdis/jiv177","title":"Integrated Sentinel Surveillance Linking Genetic, Antigenic, and Epidemiologic Monitoring of Influenza Vaccine-Virus Relatedness and Effectiveness During the 2013–2014 Influenza Season","year":2015,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Manitoba Health; Provincial Laboratory of Public Health; University of Manitoba; Institut National de Santé Publique du Québec; University of British Columbia; Public Health Ontario; BC Centre for Disease Control","funders":"","keywords":"Virology; Hemagglutination assay; Virus; Biology; Antigenic drift; Vaccination; Influenza A virus; Lineage (genetic); Clade; Influenza vaccine; Influenza-like illness; Gene; Titer; Genetics; Phylogenetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00143499,0.0003510922,0.0002829304,0.0009083755,0.0004979199,0.0003807832,0.0006034781,0.0002020647,0.0004349126],"category_scores_gemma":[0.002151102,0.0001703602,0.0002041665,0.001221423,0.00025365,0.0001769979,0.000580103,0.0002304096,0.00006170307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004858418,"about_ca_system_score_gemma":0.006628313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7493736,"about_ca_topic_score_gemma":0.8497686,"domain_scores_codex":[0.9987651,0.0002878557,0.00006139519,0.0002373514,0.0003911541,0.0002571226],"domain_scores_gemma":[0.9975794,0.0002070291,0.0007106233,0.00009032942,0.001023718,0.0003889059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008579224,0.00002930531,0.9939441,0.00002288881,0.0000571868,0.00002057869,0.0001022786,0.0001856397,0.0003902407,0.00002308758,0.0005062505,0.004632695],"study_design_scores_gemma":[0.00001043753,0.0001418059,0.99723,0.00001988318,0.00004386382,0.00008029329,0.0002339532,0.001394696,0.0003828373,0.00001502173,0.0004427391,0.000004464932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959028,0.0002317213,0.0006621503,0.00007820866,0.000009572776,0.00006547759,0.00215182,0.00002473972,0.0008735168],"genre_scores_gemma":[0.9970578,0.0001209178,0.001252338,0.00003979297,0.000007767117,0.00002780244,0.001313258,0.000001894701,0.0001785601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7493736,"threshold_uncertainty_score":0.5042048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488050108065358,"score_gpt":0.3496108430226861,"score_spread":0.3008058322161503,"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."}}