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Record W1968358897 · doi:10.1542/peds.2012-2976

Global Justice and the Proposed Ban on Thimerosal-Containing Vaccines

2012· review· en· W1968358897 on OpenAlexaffabout
Katherine F. King, Megan Paterson, Shane K. Green

Bibliographic record

VenuePEDIATRICS · 2012
Typereview
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversity of TorontoUniversity Health NetworkSt. Michael's Hospital
Fundersnot available
KeywordsThimerosalMedicineImmunologyDermatology

Abstract

fetched live from OpenAlex

* Abbreviations: HICs — : high-income countries LMICs — : low- and middle-income countries Thimerosal is an ethyl mercury–containing compound that has been used safely for >60 years as a preservative in multidose vials of vaccines to prevent bacterial and fungal contamination of those vials when they are repeatedly entered to withdraw doses.1,2 In the late 1990s, preservative-free single-dose vials were widely introduced into high-income countries (HICs). This was a precautionary move in response to theoretical concerns, now known to be unfounded, that ethyl mercury in thimerosal could build up in vaccine recipients’ bodies at a rate to similar methylmercury (a known toxin) causing toxicity.3 For low- and middle-income countries (LMICs), where the burdens of vaccine-preventable deaths are most profound, multidose vials of thimerosal-preserved vaccines are a critical part of immunization programs. Extensive additional resources associated with increased manufacturing, shipping, cold-chain storage, administration, and waste-handling infrastructure would be required by a move away from multidose vaccines; for example, a shift to single-dose vials would increase the annual cost of Pan American Health Organization– or UNICEF–supplied vaccines by >$300 million.4 In January 2013, governments are set to finalize the products and processes that will be prohibited in a multilateral environmental treaty, backed by the United Nations Environment Programme, which aims to restrict human and environmental exposure to mercury.5 As a mercury derivative, thimerosal could potentially be included within the treaty. Although supportive of the objectives of reducing human and environmental exposure to mercury, the World … Address correspondence to Shane K. Green, PhD, Sandra Rotman Centre, MaRS Building, South Tower, 101 College St, Suite 406, Toronto, ON, Canada, M5G1L7. E-mail: shane.green{at}srcglobal.org

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)0.009
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0080.006
Open science0.0020.008
Research integrity0.0210.016
Insufficient payload (model declined to judge)0.0140.002

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 head0.050
GPT teacher head0.326
Teacher spread0.276 · 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
GenreReview

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

Citations11
Published2012
Admission routes2
Has abstractyes

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