Incidence of endoparasites in exotic cattle calves.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".