The Implementation of Preventive Vaccination of Dogs and Cats against Rabies in Rural Areas
Bibliographic record
Abstract
Rabies is a fatal viral infection that has no specific treatment. For that reason prevention, especially vaccinations against rabies, is the matter of the utmost importance. The study involved 176 dog owners (possessing 257 dogs) and 86 cat owners (possessing 182 cats) from rural areas in Lublin province. The special original inquiry questionnaire was applied. Results: Preventive vaccination of dogs against rabies is properly realized by only 64.8 ± 7 % dog owners (below the level recommended by WHO) and by only 19.8 ± 9.1 % of cat owners - inhabitants of rural areas in Lublin Province. 16.5 % of respondents confessed that they have never vaccinated their dogs against rabies. 48.3 ± 7.4 % of dog owners as well as 65.1 ± 10.1 % of cat owners don't have any veterinary health certificates for their animals. Conclusions: The standards of veterinary care as well as effectiveness of dogs and cats vaccinations against rabies in rural areas in Poland need to be improved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".