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Record W7139106115 · doi:10.61900/spjvs.2025.01.11

ENZOOTIC BOVINE LEUKOSIS AND FOOD SAFETY: RISKS AND CONTROL APPROACHES

2025· article· W7139106115 on OpenAlexaboutno aff
Oana-Raluca Rusu, Gheorghita Vlad, Alina Borş, Viorel-Cezar Floriștean, Carmen Daniela Petcu, Adriana -Valentina Trandaf

Bibliographic record

VenueScientific Papers Journal VETERINARY SERIES · 2025
Typearticle
Language
FieldImmunology and Microbiology
TopicT-cell and Retrovirus Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBovine leukemia virusEnzooticPasteurizationCullingFood safetyEuropean unionDisease controlFood products

Abstract

fetched live from OpenAlex

Bovine enzootic leukosis (EBL), caused by the Bovine leukemia virus (BLV), is a retroviral disease of major veterinary and economic significance worldwide. Although the primary impact is on animal health, the presence of viral genetic material in milk and lymphoid tissues has raised concerns regarding food safety and possible zoonotic potential. Pasteurization considerably reduces viral infectivity, but complete inactivation remains debated, while ultra-high temperature (UHT) treatment eliminates viral RNA. BLV has not been detected in bovine muscle tissue, yet lymph nodes, spleen, and liver may act as reservoirs. The European Union applies strict eradication programs and prohibits the marketing of raw milk from BLV-positive cattle, while the United States and Canada permit products from infected animals provided thermal processing is ensured. This paper provides a systematic review of scientific evidence, international legislation, and risk management strategies. The findings emphasize the importance of harmonized global standards, strict hygiene, and continued surveillance to ensure consumer confidence and protect food safety.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.006
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.248
Teacher spread0.197 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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