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Record W2795652108 · doi:10.1111/ajag.12529

Adult immunisation: A key element of public health programs

2018· article· en· W2795652108 on OpenAlexaff
Jessica Rochman‐Fowler, Virginia Duarte Walsh, Jane Barratt

Bibliographic record

VenueAustralasian Journal on Ageing · 2018
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsInternational Federation on Ageing
Fundersnot available
KeywordsVaccinationLatin AmericansElement (criminal law)Asia pacificPublic healthPolitical scienceKey (lock)Economic growthMedicinePublic relationsBusinessImmunologyNursingInternational tradeLaw

Abstract

fetched live from OpenAlex

OBJECTIVES: To (i) improve scientific knowledge and understanding of the importance of adult vaccination within a public health framework; (ii) share an understanding of the principles of good practice that have improved adult vaccination uptake rates; (iii) appreciate the diverse nature of country-specific barriers; and (iv) reach consensus on principles of a call to action to increase adult vaccination uptake rates. METHODS: Non-governmental organisations, the International Federation on Ageing and Friends of International Federation on Ageing Japan, convened the Asia Pacific Adult Immunisation Meeting, herein referred to as the 'Asia Pacific Meeting'. RESULTS: Delegates identified fundamental barriers to adult vaccination similar to those reported at previous meetings in Latin America and Europe and formed a road map to respond to key barriers in countries represented at the Asia Pacific Meeting. CONCLUSION: Older people are uniquely vulnerable to vaccine-preventable diseases and therefore need to be the target of a series of actions intended to improve uptake rates in this subpopulation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.157
GPT teacher head0.407
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2018
Admission routes1
Has abstractyes

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