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Image_1_Molecular identification of carnivore chaphamaparvovirus 2 (feline chaphamaparvovirus) in cats with diarrhea from China.TIF

2023· other· en· W6965108877 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2023
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsCATSGenetic diversityPhylogenetic treePolymerase chain reactionStrain (injury)DiarrheaCanine parvovirusCapsidTransmission (telecommunications)Carnivore

Abstract

fetched live from OpenAlex

<p>Chaphamaparvovirus carnivoran2 (feline chaphamaparvovirus, FeChPV) is a novel feline parvovirus originally detected in Canadian cats in 2019, and it has also been identified in domestic cats in other nations. To evaluate the prevalence and genetic diversity of FeChPV in China, rectal swabs of pet cats from Henan, Guangdong, Anhui, Zhejiang, and Inner Mongolia provinces were collected. Of the 230 samples subjected to nested polymerase chain reaction, 6 (2.6%) tested positive for FeChPV. Although all positive samples were from cats with diarrhea, statistical analyses revealed no correlation between the presence of the virus and clinical symptoms (p > 0.05). Phylogenetic trees of nonstructural protein 1 (NS1) and capsid protein (VP1) demonstrated that these six new strains formed a major branch with other reference FeChPV strains and considerably differed from Chaphamaparvoviru carnivoran1. Moreover, recombination analysis revealed that the FeChPV strain CHN20201025, previously detected in a dog, was a recombinant and strains CHN200228 and CHN180917, identified in this study, were the closest relatives to the parental strains. The findings of this study and a previous study wherein FeChPV was detected in dogs suggest that FeChPV can propagate between species. Additionally, these findings indicate that the genetic diversity of FeChPV can provide an insight into the epidemiological status of FeChPV in China.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0550.001

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 head0.014
GPT teacher head0.215
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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