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BOVINE CORONAVIRUS DETECTION IN ADULT COWS IN BRAZIL

2002· article· en· W2337662345 on OpenAlexaboutno aff
P. E. 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
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirusVirologyCoronavirus disease 2019 (COVID-19)Bovine coronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BiologyGeographyVeterinary medicineMedicineInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

ABSTRACT 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
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 science0.0000.000
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 head0.041
GPT teacher head0.257
Teacher spread0.215 · 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

Citations24
Published2002
Admission routes1
Has abstractyes

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