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Record W2791624872 · doi:10.1016/j.vaccine.2018.02.093

Influenza vaccine effectiveness to prevent influenza-related hospitalizations and serious outcomes in Canadian adults over the 2011/12 through 2013/14 influenza seasons: A pooled analysis from the Canadian Immunization Research Network (CIRN) Serious Outcomes Surveillance (SOS Network)

2018· article· en· W2791624872 on OpenAlexafffundabout
Michaela Nichols, Melissa K. Andrew, Todd F. Hatchette, Ardith Ambrose, Guy Boivin, William Bowie, Ayman Chit, Gaël Dos Santos, May ElSherif, Karen Green, François Haguinet, Scott A. Halperin, Barbara Ibarguchi, Jennie Johnstone, Kevin Katz, Philippe Lagacé‐Wiens, Joanne M. Langley, Jason J. LeBlanc, Mark Loeb, Donna MacKinnon‐Cameron, Anne McCarthy, Janet E. McElhaney, Allison McGeer, André Poirier, Jeff Powis, David Richardson, Anne Schuind, Makeda Semret, Vivek Shinde, Stephanie Smith, Daniel Smyth, Grant Stiver, Geoffrey Taylor, Sylvie Trottier, Louis Valiquette, Duncan Webster, Lingyun Ye, Shelly McNeil

Bibliographic record

VenueVaccine · 2018
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsMcGill UniversityWilliam Osler Health SystemUniversité de SherbrookeToronto East General HospitalMoncton HospitalCentres Intégré Universitaires de Santé et de Services SociauxHorizon Health NetworkHealth Sciences NorthNorth York General HospitalMcMaster UniversityGlaxoSmithKline (Canada)Mount Sinai HospitalAlberta Hospital EdmontonUniversity of British ColumbiaUniversity of Alberta HospitalOttawa HospitalIzaak Walton Killam Health CentreNova Scotia Health AuthorityCentre hospitalier universitaire de QuébecSt. Boniface HospitalDalhousie University
FundersGlaxoSmithKline BiologicalsCanadian Institutes of Health ResearchGlaxoSmithKlineCanadian Immunization Research NetworkPublic Health Agency of CanadaPfizer
KeywordsImmunizationInfluenza vaccineMedicineLive attenuated influenza vaccineVaccinationVirologyEnvironmental healthHuman mortality from H5N1ImmunologyCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Immune systemDiseaseInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.006
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.027
GPT teacher head0.356
Teacher spread0.329 · 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

Citations72
Published2018
Admission routes3
Has abstractno

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