{"id":"W3013943866","doi":"10.1093/infdis/jiaa138","title":"Influenza Vaccine Effectiveness by A(H3N2) Phylogenetic Subcluster and Prior Vaccination History: 2016–2017 and 2017–2018 Epidemics in Canada","year":2020,"lang":"en","type":"article","venue":"The Journal of Infectious Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec; Provincial Laboratory of Public Health; Université Laval; University of Alberta; 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; Ministère de la Santé et des Services sociaux; Public Health Agency of Canada","keywords":"Vaccination; Hemagglutinin (influenza); Phylogenetic tree; Clade; Confidence interval; Virology; Influenza vaccine; Medicine; Biology; Internal medicine; Virus; Genetics; Gene","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":[0.00136406,0.000584497,0.0005594288,0.001241222,0.001845657,0.001352419,0.001446497,0.0005276846,0.001602091],"category_scores_gemma":[0.003025032,0.0003799026,0.001036997,0.002248677,0.0008792572,0.0006548748,0.001076078,0.001049256,0.000162033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05080939,"about_ca_system_score_gemma":0.05503583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974921,"about_ca_topic_score_gemma":0.9970236,"domain_scores_codex":[0.9984628,0.00008420175,0.00008878766,0.0002708951,0.0005426645,0.0005506569],"domain_scores_gemma":[0.996738,0.0002017958,0.0004530847,0.00008428459,0.001601329,0.0009215061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005338257,0.00004276758,0.986476,0.000088833,0.000186108,0.00007460021,0.0005671152,0.0006241502,0.0003940011,0.0001675171,0.002096017,0.008749065],"study_design_scores_gemma":[0.0000196957,0.00006252105,0.9962152,0.00004422549,0.00009364833,0.00006566368,0.001017507,0.0009916108,0.0001861652,0.00002764253,0.001258347,0.00001777673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983993,0.002351943,0.0002473927,0.0007081988,0.000039093,0.00005817246,0.009963136,0.00003583429,0.002603388],"genre_scores_gemma":[0.9948549,0.0009248951,0.000194863,0.0001173299,0.00001051279,0.00001329179,0.00310486,0.00001154767,0.0007677326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05080939,"threshold_uncertainty_score":0.3686497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774317508386198,"score_gpt":0.307009267766024,"score_spread":0.269266092682162,"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."}}