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Record W2136479535 · doi:10.1503/cmaj.109-3065

Canada can release pandemic vaccine earlier if necessary, chief public health officer says

2009· article· en· W2136479535 on OpenAlexvenueaboutno aff
Laura Eggertson

Bibliographic record

VenueCanadian Medical Association Journal · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerPandemicPublic healthInfluenza pandemicInfluenza vaccinePress releaseCoronavirus disease 2019 (COVID-19)Medicine2019-20 coronavirus outbreakPolitical scienceManagementPublic relationsBusinessOperations researchVirologyVaccinationLawNursingEngineeringEconomicsOutbreak

Abstract

fetched live from OpenAlex

Canada has put an emergency process in place to release the pandemic (H1N1) 2009 influenza vaccine before November if necessary, says Dr. David Butler-Jones, the country’s chief public health officer. Although vaccine manufacturer GlaxoSmithKline Inc. expects to have initial lots ready for

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0660.013

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 head0.028
GPT teacher head0.361
Teacher spread0.332 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2009
Admission routes2
Has abstractyes

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