Fertility of Hydatid Cysts and Viability of Protoscoleces in Slaughtered Animals in Qazvin, Iran
Bibliographic record
Abstract
This study was conducted to estimate the fertility of hydatid cysts and viability of protoscoleces based on the location, size and type of cysts in slaughtered animals in Qazvin, Iran. Cysts were collected from the livers and lungs of 247 sheep and 275 cattle infected with hydatid cysts. Fertility of the cysts was assessed by examining the cysts’ fluid for the presence of protoscoleces and the viability of the protoscoleces was determined using staining with an aqueous solution of 0.1% eosin. The highest and lowest rate of fertility was observed in hepatic cysts of sheep (81.05%), and cattle (1.27%) respectively. Most fertile cysts had medium size (45.03%), while the lowest fertility rate belonged to the small cysts (22.8%) .Relationship between fertility of the cysts and type of infected organs, type of animals and size of cysts were significant (p<0.05). The highest rate of viability was found in cattle's lungs (88.06%) and the lowest rate was seen in sheep’s liver cysts (46.49%). There was significant difference in viability of fertile cysts between cattle and sheep organs (p<0.05). Most of sterile, suppurative and calcified cysts were found in cattle’s lungs (84.7%), cattle's liver (89.87%) and sheep’s liver (6.58%) respectively. In conclusion it can be said that fertility rates of liver and lung hydatid cysts of sheep and viability of their protoscoleces is considerable. In addition, although the fertility of cysts in cattle was low, but they had high viability rate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".