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Record W2897416787 · doi:10.1093/cid/ciy876

Vaccine Effectiveness Against Lineage-matched and -mismatched Influenza B Viruses Across 8 Seasons in Canada, 2010–2011 to 2017–2018

2018· article· en· W2897416787 on OpenAlexafffundabout
Danuta M. Skowronski, Catharine Chambers, Gaston De Serres, Suzana Sabaiduc, Anne‐Luise Winter, James A. Dickinson, Jonathan B. Gubbay, Steven J. Drews, Kevin Fonseca, Hugues Charest, Christine Martineau, Rebecca Hickman, Tracy Chan, Agatha N. Jassem, Martin Petric, Caren Rose, Nathalie Bastien, Yan Li, Mel Krajden

Bibliographic record

VenueClinical Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsPublic Health Agency of CanadaUniversity of WinnipegProvincial Laboratory of Public HealthUniversity of TorontoUniversity of CalgaryUniversité de MontréalUniversity of AlbertaUniversité LavalInstitut National de Santé Publique du QuébecCentre hospitalier universitaire de QuébecPublic Health OntarioBC Centre for Disease ControlUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsLineage (genetic)VirologyInfluenza vaccineMedicineStrain (injury)Seasonal influenzaVirusBiologyCoronavirus disease 2019 (COVID-19)GeneticsGeneInternal medicineInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Vaccine effectiveness (VE) against influenza B was derived separately for Victoria and Yamagata lineages across 8 seasons (2010-2011 to 2017-2018) in Canada when trivalent influenza vaccine was predominantly used. VE was ≥50% regardless of lineage match to circulating viruses, except when the vaccine strain was unchanged from the prior season.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.114
GPT teacher head0.449
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations51
Published2018
Admission routes3
Has abstractyes

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