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Record W1998931449 · doi:10.3103/s0891416814040028

Molecular genetic analysis of genomes of porcine respiratory and reproductive syndrome viruses and porcine circovirus type 2 circulating on the territory of the Russian federation

2014· article· en· W1998931449 on OpenAlexaboutno aff
A.D. Bulgakov, Т. В. Гребенникова, Anton Yuzhakov, Aliper Ti, E A Nepoklonov

Bibliographic record

VenueMolecular Genetics Microbiology and Virology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPorcine circovirusPorcine reproductive and respiratory syndrome virusBiologyGenotypeVirologyCircovirusGenomeRussian federationVirusGeneticsArterivirusGeneDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)

Abstract

fetched live from OpenAlex

A molecular genetic analysis of genomes of porcine reproductive respiratory syndrome virus (PRRSV) and porcine circovirus type 2 (PCV-2) circulating in the territory of the Russian Federation is given. The results of the study showed the presence of circulation of European genotypes of PRRSV strains that are similar to isolates found in France and Denmark from 1998 to 2001. We explained the homology of a fragment of one of the genes between the Russian isolates and the vaccine strain used in Porcilis PRRS (Intervet) vaccine, but this requires further study. Strains of the North American genotype of PRRS were not found. The PCV-2 genomes fall into three separate groups. One (genotype 2b) is formed by isolates in Malaysia, Brazil, Switzerland, China, Slovakia, the United Kingdom, and the United States, which were isolated during the period from 2004 to the present time. The second group consists of the field sequences of viruses isolated in 2000–2012 in Canada, the United States, China, and South Korea (genotype 2a). The third group is formed by highly pathogenic isolates evolved in 2013 in China (genotype 2c). The circulation of all three known genotypes of PCV-2-2a, 2b, and 2c-in the Russian Federation was shown.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.218
Teacher spread0.203 · 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 designBench or experimental
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

Citations3
Published2014
Admission routes1
Has abstractyes

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