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Prevalence and Antibacterial Susceptibility in Mastitis in Buffalo and Cattle in District Lahore-Pakistan

2012· article· en· W2110575421 on OpenAlexvenueno aff
Yasser Mustafa, Farhat Nazir Awan, Tariq Zaman, Sadaf Chaudhry

Bibliographic record

VenueJournal of Buffalo Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsnot available
Fundersnot available
KeywordsVeterinary medicineMastitisCiprofloxacinCalifornia mastitis testMedicineGentamicinDairy cattleAntibioticsIncidence (geometry)Animal scienceBiologyLactationIce calvingPregnancyPathologyMicrobiology

Abstract

fetched live from OpenAlex

A total of 450 milk samples including both 272 buffalo and 178 cattle were randomly collected in and around District Lahore to study the incidence of mastitis and antibiotic sensitivity by performing Culture and Sensitivity test. The prevalence of mastitis in buffalo was found 20.98% while in cattle 24.71%. The prevalence of both Clinical and subclincal mastitis in buffalo were 40.35%, 59.64% and in cattle 61.26%, 30.63% respectively. The milk samples mixed with both mucus and blood in buffalo and cattle were 5.51% and 4.49% respectively. Quarters wise prevalence was 47.72%, 11.36%, 36.36% and 4.54% in the left fore, left hind, right fore and right hind quarters in cattle while In buffaloes, the prevalence was 0%, 68.96%, 11.49% and 19.54% in the left fore, left hind, right fore and right hind quarters respectively. The Ciprofloxacin antibiotic was found highly Sensitive in buffalo while Gentamicin in cattle.

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 score0.016
Threshold uncertainty score0.032

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 studies0.0010.001
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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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
Published2012
Admission routes1
Has abstractyes

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