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Record W2061134976 · doi:10.1080/03079457.2012.711464

Avian hepatitis E virus identified in Russian chicken flocks exhibits high genetic divergence based on the ORF2 capsid gene

2012· article· en· W2061134976 on OpenAlexaboutno aff
Alexander Sprygin, З. Б. Никонова, N. G. Zinyakov

Bibliographic record

VenueAvian Pathology · 2012
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyCapsidVirologyFlockPhylogenetic treeGenotypeHomology (biology)GeneVirusGenetics

Abstract

fetched live from OpenAlex

A total of 79 liver samples from clinically sick and asymptomatic chickens were tested for avian hepatitis E virus (aHEV). Samples were received from 19 farms, five of which tested positive with primers targeting the ORF2 capsid gene. The phylogenetic analysis of a 242-base-pair fragment demonstrated that the Russian aHEV isolates share between 78.2 and 96.2% over the fragment sequenced, whereas the nucleotide sequence identities between the Russian isolates and the other representatives from GeneBank varied from 76.3 to 96.2%. The homology between the studied hepatitis E viruses and swine hepatitis E virus varied between 46.9 to 48.1%. The most divergent isolate aHEV16050 showed homology of 82.6% as compared with the strains in the dendrogram. The three positive hepatitis E virus samples (aHEV16279, aHEV16050 and aHEV18196) did not cluster with the European genotype 3 as expected due to the close location of Russia to Europe, nor did they with the other two genotypes, separating to a distinct branch. The aHEV16211 grouped together with European and Chinese isolates, and the aHEV18198 with Canadian ones.

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)0.000
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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

Citations27
Published2012
Admission routes1
Has abstractyes

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