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Record W1978416026 · doi:10.1016/j.ijid.2010.02.2204

Seasonal influenza vaccine may be associated with increased risk of illness due to the 2009 pandemic A/H1N1 virus

2010· article· en· W1978416026 on OpenAlexaffabout
Danuta M. Skowronski, Gaston De Serres, Natasha S. Crowcroft, Naveed Z. Janjua, Nicole Boulianne, Laura C. Rosella, Jim Dickinson, Pulkit Sethi, Najwa Ouhoummane, Don Willison, Isabelle Rouleau, K Fonseca, Steven J. Drews, Anu Rebbapragada, Hugues Charest, Marie‐Ève Hamelin, Guy Boivin, Jennifer L. Gardy, Yuhang Li, Pierre-Yves Martin

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2010
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsPublic Health Agency of CanadaUniversity of CalgaryUniversité LavalProvincial Laboratory of Public HealthInstitut National de Santé Publique du QuébecBC Centre for Disease Control
Fundersnot available
KeywordsMedicineOdds ratioConfidence intervalInfluenza-like illnessPandemicCohort studyLogistic regressionProspective cohort studyDemographyPopulationRelative riskEpidemiologyEnvironmental healthInternal medicineDiseaseVirusInfectious disease (medical specialty)VirologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Background: In late spring 2009, concern was raised in Canada that prior receipt of the 2008-09 trivalent inactivated influenza vaccine (TIV) was associated with increased risk of pandemic H1N1 (pH1N1) illness. Several epidemiologic investigations were urgently conducted through the summer to assess this putative association.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.340
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2010
Admission routes2
Has abstractyes

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