{"id":"W4318921618","doi":"10.2807/1560-7917.es.2023.28.5.2300043","title":"Vaccine effectiveness estimates from an early-season influenza A(H3N2) epidemic, including unique genetic diversity with reassortment, Canada, 2022/23","year":2023,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Public Health Agency of Canada; Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec; Alberta Hospital Edmonton; University of Calgary; University of Toronto; Public Health Ontario; BC Centre for Disease Control; University of British Columbia","funders":"British Columbia Centre for Disease Control; Institut National de Santé Publique du Québec","keywords":"Reassortment; Virology; Clade; Neuraminidase; Genetic diversity; Biology; Diversity (politics); Influenza vaccine; Virus; Genetics; Medicine; Coronavirus disease 2019 (COVID-19); Gene; Phylogenetics; Environmental health; Political science; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00358371,0.0007889727,0.0004834823,0.001526868,0.000341517,0.00073293,0.0007197857,0.0003019462,0.0009101545],"category_scores_gemma":[0.005731782,0.000191742,0.001124248,0.001625876,0.0002317629,0.0003988956,0.0004027044,0.0005184072,0.000130014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01296567,"about_ca_system_score_gemma":0.007556976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8792202,"about_ca_topic_score_gemma":0.8773956,"domain_scores_codex":[0.9986217,0.0003051786,0.00008064825,0.0001295044,0.0007438282,0.000119255],"domain_scores_gemma":[0.9977478,0.0006196066,0.0003324275,0.00007425273,0.001069769,0.0001560983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002698022,0.0001528529,0.6803541,0.004270797,0.01075079,0.0002427188,0.0006864526,0.1108622,0.002600324,0.005786834,0.02779397,0.153801],"study_design_scores_gemma":[0.0001476977,0.0005227731,0.9503416,0.0007948632,0.002648163,0.0002386981,0.0003193189,0.01790043,0.002451058,0.0007580747,0.02380673,0.00007054839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477446,0.09763687,0.01031099,0.00159568,0.0001655942,0.0004136751,0.1197476,0.0001746811,0.02221039],"genre_scores_gemma":[0.9691817,0.009376629,0.002706381,0.0001861372,0.00003623184,0.00008410347,0.01680202,0.00001416147,0.001612557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207798,"threshold_uncertainty_score":0.242982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641496276111178,"score_gpt":0.3537595990520705,"score_spread":0.2873446362909587,"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."}}