Control of <i>Bovicola equi</i> infestation in a herd of horses using an environmentally sustainable treatment protocol
Bibliographic record
Abstract
Abstract In March 2024, a Slovenian warmblood gelding presented with severe pruritus and skin lesions throughout its head, neck and around the base of the tail. The owners had observed increased pruritus in multiple animals within the herd. After careful examination, Bovicola equi were found in all five horses, but not the pony. Horse owners requested an environmentally sustainable treatment plan, which consisted of (a) mechanical removal of lice by shaving and/or combing, (b) application of 0.2 g/horse (0.1 g/pony) neem extract, geraniol (0.5 g/horse, 0.25 g/pony) and diatomaceous earth (250 g/horse, 50 g/pony). Clinical signs ceased 1 week after the initial treatment, no lice were found after 3 weeks, and skin lesions resolved within 6 weeks. Although there was no control group to estimate the true efficiency of the described treatment, upon follow‐up, all horses remained lice‐free for at least 18 months after the last treatment.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".