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Record W2147684360

Effectiveness of rotavirus vaccine in preventing severe acute gastroenteritis in children.

2012· article· en· W2147684360 on OpenAlexaffabout
Ran D. Goldman

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineRotavirus vaccineRotavirusAcute gastroenteritisImmunizationImmunization programPediatricsRotavirus gastroenteritisDiarrheaVaccinationIntensive care medicineVirologyImmunologyInternal medicineAntigen
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: As rotavirus vaccines enter the scheduled immunization programs in Canada, more and more of the children younger than 1 year of age in my practice are receiving rotavirus vaccines. Is there evidence that rotavirus vaccines are effective in preventing acute gastroenteritis complications such as dehydration and hospitalization? ANSWER: To reduce the burden of illness of rotavirus-induced gastroenteritis, 2 orally administered rotavirus vaccines were licensed in recent years. Large studies documented the safety profiles of these vaccines and several provinces introduced a vaccine as part of their immunization program. Recent data from developed and developing countries suggest that the rotavirus vaccine is substantially reducing morbidity and mortality among children. Initial clinical trials are now being supported by effectiveness data from field studies, showing a 70% to 100% reduction in emergency department visits and hospitalizations of children with rotavirus acute gastroenteritis.

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)0.005
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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 designObservational
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

Citations11
Published2012
Admission routes2
Has abstractyes

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