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Record W2724098790

Detecção de coronavírus bovino em vacas adultas no Brasil

2002· article· pt· W2724098790 on OpenAlexaboutno aff
Paulo Eduardo Brandão, Eduardo Harry Birgel, Fábio Gregori, C. A. R. Rosales, Vera Letticie de Azevedo Ruiz, J.A. Jerez

Bibliographic record

VenueArquivos do Instituto Biológico · 2002
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAnimal Virus Infections Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBovine coronavirusOutbreakDiarrheaHemagglutinationVeterinary medicineDysenteryBiologyVirologyGeographyMicrobiologyVirusMedicineDiseaseInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)Internal medicine
DOInot available

Abstract

fetched live from OpenAlex

Winter dysentery is a bovine coronavirus (BCV)-caused disease that affects cows reported Europe, Japan, Canada and in the USA. The existence of enteric BCV infections in cows in an outbreak of diarrhea during the winter, a fact not reported in Brazil, has been surveyed in 9 stool samples with hemagglutination/ hemagglutination inhibition test and three were found positive. All 9 samples tested negative for rotavirus in PAGE. These results, the first description of BCV in adult cows in the Southern Hemisphere, show that winter dysentery also occurs in Southern, tropical areas and that BCV needs now to be considered in the aethiology of diarrheas in adult cattle in Brazil.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.016

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 head0.044
GPT teacher head0.246
Teacher spread0.202 · 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
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
Published2002
Admission routes1
Has abstractyes

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