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Record W2969896676 · doi:10.1136/bmj.l5219

MMR vaccine: Johnson urges new impetus to increase uptake as UK loses measles-free status

2019· article· en· W2969896676 on OpenAlexaboutno aff
Jacqui Wise

Bibliographic record

VenueBMJ · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsnot available
Fundersnot available
KeywordsMeaslesVaccinationMedicineRubellaMMR vaccineQuarter (Canadian coin)PediatricsVirologyGeography

Abstract

fetched live from OpenAlex

The prime minister, Boris Johnson, has said that urgent action is needed to boost the number of children receiving the measles, mumps, and rubella (MMR) vaccine after the UK lost its measles-free status with the World Health Organization. In the first quarter of 2019 some 231 cases of measles were confirmed in the UK. Many of these were acquired abroad, with some onward spread in under-vaccinated communities. The UK achieved measles-free status in 2016 after three years of limited spread due to high vaccination rates. However, a small but steady decline in MMR vaccine coverage has been measured in recent years. Earlier this month WHO warned that, in the first six months of 2019, almost three times as many measles cases were reported globally as in the …

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.011

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 head0.011
GPT teacher head0.278
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2019
Admission routes1
Has abstractyes

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