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Phylogenetic Analysis of Classical Swine Fever Virus Isolates from Peru

2010· article· en· W1581828009 on OpenAlexaff
Mariluz Araínga, Tamiko Hisanaga, Kevin Hills, K. Handel, John Pasick

Bibliographic record

VenueTransboundary and Emerging Diseases · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsCladePhylogenetic treeOutbreakMonophylyBiologyVirologyPhylogeneticsVirusGeneticsGene

Abstract

fetched live from OpenAlex

Classical swine fever (CSF) is considered to be endemic in Peru with outbreaks reported to the World Organization for Animal Health as recently as 2008 and 2009. Nevertheless, little is known regarding the genetic subgroup(s) of CSF virus that are circulating in Peru or their relationship to recent CSF viruses that have been isolated from neighbouring South American countries or other parts of the world. In this study, we molecularly characterize CSF viruses that were isolated from domestic pigs from different regions of Peru from the middle of 2007 to early 2008. All virus isolates were found to belong to genetic subgroup 1.1, consistent with the subgroup of viruses that have been identified from other South American countries. Although the Peruvian isolates are most closely related to viruses from Colombia and Brazil, they form a monophyletic clade, which suggests they have a distinct evolutionary history.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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.

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

Citations9
Published2010
Admission routes1
Has abstractyes

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