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Record W2089951138 · doi:10.3109/1040841x.2014.962479

New approaches in oral rotavirus vaccines

2014· review· en· W2089951138 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews in Microbiology · 2014
Typereview
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsMcGill University
Fundersnot available
KeywordsRotavirusVirologyBiologyVirus

Abstract

fetched live from OpenAlex

Rotavirus is the leading cause of severe dehydrating diarrhea worldwide, and affects primarily developing nations, in large part because of the inaccessibility of vaccines and high rates of mortality present therein. At present, there exist two oral rotaviral vaccines, Rotarix™ and RotaTeq™. These vaccines are generally effective in their actions: however, associated costs often stymie their effectiveness, and they continue to be associated with a slight risk of intussusception. While different programs are being implemented worldwide to enhance vaccine distribution and monitor vaccine administration for possible intussusception in light of recent WHO recommendation, another major problem persists: that of the reduced efficacy of the existing rotaviral vaccines in developing countries over time. The development of new oral rotavirus vaccine classes - live-attenuated vaccines, virus-like particles, lactic acid bacteria-containing vaccines, combination therapy with immunoglobulins, and biodegradable polymer-encapsulated vaccines - could potentially circumvent these problems.

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.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.233
GPT teacher head0.463
Teacher spread0.230 · 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