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Record W2096464469

Incidence of endoparasites in exotic cattle calves.

2005· article· en· W2096464469 on OpenAlexaboutno aff
I. A. Zahid, M. Latif, K. B. Baloch

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsnot available
Fundersnot available
KeywordsIncidence (geometry)Veterinary medicineInfestationAnimal scienceQuarter (Canadian coin)BiologyMedicineGeographyAgronomyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Incidence of endoparasites was investigated in 100 and 157 youngstock of Holstein-Friesian and Jersey breeds, respectively. Youngstock attaining the age of 9 months or more maintained at the Livestock Experiment Station, Bhunikey (Pattoki), District Kasur were selected for the present study. Faecal samples of all the selected animals were collected per rectum aseptically on quarterly basis from 1st July 2003 to 30th June 2004. These faecal samples were processed and examined using the standard methods i.e. direct faecal smear method, sedimentation method and floatation technique. Overall incidence of endoparasites in youngstock of Holstein-Friesian and Jersey breeds was 39.00 and 38.21 per cent, respectively. The highest incidence in Friesian and Jersey youngstock was 50 and 60 per cent during 3rd and 4th quarters, respectively, while the lowest incidence was 21.05 and 17.07 per cent, respectively during 2nd quarter. In 1st quarter the infestation of endoparasites was 34.61 and 19.44 per cent in Holstein Friesian and Jersey calves, respectively. It was higher than infestation of endoparasites observed in 2nd quarter. The incidence of endoparasites in 3rd quarter was higher than incidence observed in 1st and 2nd quarters. It was concluded that the youngstock should be regularly monitored for the presence of endoparasites for their effective control programmes.

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)0.000
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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

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 head0.055
GPT teacher head0.332
Teacher spread0.276 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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