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Record W3020842424 · doi:10.14745/ccdr.v40is3a02

(CAEFISS) Annual report for vaccines administered in 2012

2014· article· en· W3020842424 on OpenAlexafffundvenueabout
BJ Law, J Laflèche, N Ahmadipour, H Anyoti

Bibliographic record

VenueCanada Communicable Disease Report · 2014
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacovigilance and Adverse Drug Reactions
Canadian institutionsPublic Health Agency of Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsMedicinePharmacovigilanceVaccinationRashAdverse effectImmunizationPopulationPublic healthPediatricsEnvironmental healthFamily medicineImmunologyPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: To describe the adverse event following immunization (AEFI) reporting profile for vaccines administered in Canada during 2012 and surveillance trends relative to reports for vaccines administered from 2005 through 2011. METHODS: Analysis of data based on AEFI reports received by the Public Health Agency of Canada by April 30, 2013, for vaccines marketed in Canada and administered from January 1, 2005, through December 31, 2012. RESULTS: The AEFI reporting rate was 10.1 per 100,000 population in Canada for vaccines administered in 2012 and was inversely proportional to age. There was a trend of declining rates from 2005 (14.8) to 2012 overall and by age group. The vast majority of reports (94%-95%) were non-serious involving reactions at or near the vaccination site, rash and febrile events. CONCLUSION: Canada has a strong pharmacovigilance system for vaccines with one of the highest AEFI reporting rates in developed countries. Vaccines marketed in Canada have a very good safety profile. This report enables comparisons across jurisdictions in Canada and globally.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.086
GPT teacher head0.428
Teacher spread0.342 · 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 designNot applicable
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

Citations25
Published2014
Admission routes4
Has abstractyes

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