MétaCan
Menu
Back to cohort

Prevalence of Bovine Immunodeficiency Virus Infection in Buffaloes in East Azerbaijan, Northwestern Iran

2018· article· en· W2893524418 on OpenAlexvenueno aff
Mohammad Tolouei Kaleibar, Morteza Mozaffari, Javad Ashrafi, Ezzatollah Fathi

Bibliographic record

VenueJournal of Buffalo Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
FundersUniversity of Tabriz
KeywordsVirologyHuman immunodeficiency virus (HIV)Veterinary medicineVirusTraditional medicineBiologyMedicine

Abstract

fetched live from OpenAlex

Bovine immunodeficiency virus (BIV) has a worldwide distribution, but its prevalence in different regions of Iran is unknown. In this study, for the first time, the presence of BIV infections is detected by using the PCR method in Iranian water buffalo in East Azerbaijan. For this matter, blood samples were taken from 83 randomly selected buffaloes slaughtered in Tabriz industrial slaughterhouse from June to October 2012. All of the animals were clinically examined before sampling. Viral Gene-spin™ Viral DNA/RNA Extraction Kit was used to extract the DNA, and PCR was performed on the extracted DNA using oligonucleotiode primers specific for the gag gene region of the BIV virus. The prevalence of BIV in buffaloes was 2.4% (2 of 83), which is less than the prevalence of BIV in Pakistan (10.3%) and India (19%). The low prevalence observed in this study may be due to our small sample size.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

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

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 head0.033
GPT teacher head0.267
Teacher spread0.234 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Buffalo ScienceSame topicAnimal Disease Management and EpidemiologyFrench-language works237,207