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Record W6981976627

Genetic characterization of Canadian group A human rotavirus strains collected in multiple paediatric hospitals from 2007-2010

2012· dissertation· en· W6981976627 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsnot available
Fundersnot available
KeywordsReassortmentRotavirusDiarrheaGenotypeRotavirus vaccineReoviridaeRotavirus InfectionsAcute gastroenteritis
DOInot available

Abstract

fetched live from OpenAlex

Group A rotaviruses are a major cause of acute gastroenteritis in children. Almost all children are infected by the age of 5 years old. Rotavirus disease causes around 600,000 deaths per year. VP4 (P) and VP7 (G) genotypes were analyzed for prevalence and potential antigenicity, as they are known to elicit a neutralizing antibody response during infection. This study predicted the effectiveness of two recently licensed rotavirus vaccines based on Canadian surveillance. 271 out of 348 diarrhea samples from 8 paediatric hospital were successfully genotyped by PCR. Canadian rotavirus genotypes were found to be mostly G1P[8] followed by G3P[8], G2P[4], G9P[8], G4P[8], and G9P[4], between 2007 and 2010. Reassortment and motif analysis was done with a subset of rotavirus-positive samples. There were no unusual reassortment events found in Canadian strains. Variations amongst strains were commonly genotype-specific, but otherwise rare. In conclusion, rotavirus vaccine escape is presently unlikely amongst Canadian strains.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.210
Teacher spread0.192 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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