On Morphology and Morphometry of Trichuris ovis Abildgaard, 1795 Recovered from Ruminants of Ladakh, India
Bibliographic record
Abstract
Morphology and morphometry is used as tools for parasite identification since times immemorial, however this trend has been no longer used since the last decades and the identification became dependent on molecular characterization. However, this is possible in developed Countries while as the developing and underdeveloped Countries, like India, still largely depend on the traditional techniques. In this investigation an attempt was made to study the morphology and morphometry of adult Trichuris ovis recovered from caecum of the ruminants in Ladakh in order to access the effect of the study area, host, intensity, age, sex of the host and methodology on morphology of the parasite. It has been found that all these factors pose a little effect on the parasite identification were of minor importance because they were found within the range of similarity and were not good enough to label it as a new species as was expected. However, some descriptive features might be helpful in the parasite identification.
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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 | 0.001 |
| 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".