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Record W2502346523 · doi:10.54846/jshap/844

Elimination of porcine respiratory coronavirus by early weaning and segregation

2015· article· en· W2502346523 on OpenAlexfundno aff
Sue Burlatschenko, Christa Arsenault

Bibliographic record

VenueJournal of Swine Health and Production · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
FundersAgricultural Adaptation Council
KeywordsWeaningRespiratory systemCoronavirus disease 2019 (COVID-19)CoronavirusVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakBiologyMedicineInternal medicineAnimal scienceOutbreak

Abstract

fetched live from OpenAlex

Porcine respiratory coronavirus (PRCV) is considered a variant of transmissible gastroenteritis virus (TGEV). This virus is endemic in North America. Porcine respiratory coronavirus and TGEV may be differentiated on the basis of a blocking enzyme-linked immunosorbent assay. Negative status for PRCV is required by certain countries wishing to import swine from North America. A study was conducted to determine if PRCV-negative piglets could be produced from PRCV-positive sows by early weaning and removal off-site for rearing. Forty piglets were early weaned from a PRCV-positive sow herd and tested monthly for PRCV antibodies and virus for a total of 4 months. While some piglets tested positive for PRCV at the beginning of the study, all pigs tested negative at the end of the study. This study demonstrates a method by which PRCV-negative animals may be attained for the purposes of export to countries requiring PRCV-negative status.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.090
GPT teacher head0.304
Teacher spread0.214 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

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