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Record W4318218597 · doi:10.15690/pf.v19i6.2489

New Possibilities of Preventive Immunization for Rotavirus Infection in Russian Federation. Overview of the Innovative Rotavirus Vaccine Profile

2023· article· en· W4318218597 on OpenAlexaff
Leyla S. Namazova-Baranova, Мarina V. Fedoseenko, Tatiana A. Kalyuzhnaia, Firuza Ch. Shakhtakhtinskaya, Svetlana V. Tolstova, Arevaluis M. Selvyan

Bibliographic record

VenueПедиатрическая фармакология · 2023
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsRotavirusRotavirus vaccineRussian federationImmunizationDiarrheaMedicineVirologyPopulationEnvironmental healthPediatricsImmunologyVirusGeographyImmune system

Abstract

fetched live from OpenAlex

This article is devoted to the issue of rotavirus infection in pediatric population and demonstrates worldwide prevalence of rotavirus among the causes of viral gastroenteritis and its persistent leadership among the causes of fatal diarrhea in children of the first 5 years of life. Specific prevention of rotavirus infection has been actively carried out around the world since 2005. Nowadays, we have adequate experience in the use of various rotavirus vaccines bolstered by their implementation in immunisation schedules for infants. The authors provide data on the efficacy and safety of rotavirus vaccines licensed and used in Russian Federation, involving the results of studies on safety, immunological and clinical efficacy of one of the pentavalent rotavirus vaccines.

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)0.001
metaresearch head score (Gemma)0.000
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: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.060
GPT teacher head0.383
Teacher spread0.323 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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