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Record W4367054465 · doi:10.3389/fsufs.2023.1163507

High occurrence of hepatitis E virus in raw pork liver and pork liver pâté produced in the Canadian province of Quebec

2023· article· en· W4367054465 on OpenAlexafffundabout
Eva Chatonnat, Mariya Julien, Éric Jubinville, Valérie Goulet-Beaulieu, Nicole Pavio, Julie Jean

Bibliographic record

VenueFrontiers in Sustainable Food Systems · 2023
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
KeywordsHepatitis E virusWild boarGenotypeHepatitis EVirologyBiologyTransmission (telecommunications)Veterinary medicineMedicineGeneGenetics

Abstract

fetched live from OpenAlex

The Hepatitis E virus is widespread throughout the world and causes sporadic cases of liver disease. In industrialized countries, its transmission is zoonotic, with pigs, deer, and wild boar being major reservoirs. Humans can be infected by ingesting raw or undercooked contaminated meat products. In the Canadian province of Quebec, HEV has been detected previously in pork liver and chops. In the present study, we analyzed 83 pork liver pâtés sold in local grocery stores and 79 raw pork livers obtained from Quebec hog processors. HEV RNA was extracted and detected by RT-qPCR. HEV RNA was amplified in 29% of the pâtés and 4% of the raw pork livers. Out of all amplified PCR-positive samples, only one showed a product during electrophoresis and was sent for sequencing. The resulting sequence matched a strain belonging to genotype 3 (HEV-3). This pilot study shows that HEV is present frequently in pork liver-based products in the province of Quebec.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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 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

Citations9
Published2023
Admission routes3
Has abstractyes

Explore more

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