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Isolation and Characterization of Seneca Valley from pig Transboundary spread to the Mink Infection

2022· preprint· en· W4220717965 on OpenAlexaboutno aff
Ziliang Qin, Xinmiao He, Chao Chen, Zida Nai, Yao Wang, Di Liu, Xinpeng Jiang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
FundersNortheast Agricultural UniversityNational Natural Science Foundation of China
KeywordsMinkBiologyOutbreakVirologyVirusHost (biology)LivestockTransmission (telecommunications)ZoologyGeneticsEcology

Abstract

fetched live from OpenAlex

Seneca Valley Virus (SVV) infection was recently spread the pig farm in the Canada, American and China, human, mice and housefly have been the host and reservoirs. Although such cross-species transmission events result in limited onward in the new cross-species transmission, sustained outbreak have posed a new mammalian host. Thus, to determine whether mink was one of a new mammalian host in our study with the molecular characteristics of isolated SVA genomes, challenge, pathological study, and immune respond. Here, our research was the first systemic analysis on a new isolation strain of SVV from pig, the new strain infected the mink in oral and intestine, which produced the pathological change in the intestine. And the SVV could stimulate the specific neutralizing antibody. This study highlights the importance of identifying SVV infection in the mink and host as a mutational pressure for the virus evolution that could threaten livestock, public health and economic growth.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.240
Teacher spread0.209 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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