Relevamiento de la ocurrencia de síndromes clínicos en caninos y felinos en la práctica veterinaria
Bibliographic record
Abstract
The information available regarding disease occurrence in companion animals is limited. The purpose of this study is to generate a surveillance system that would allow estimating the incidence of certain diseases in companion animals as well as identifying gaps in the diagnostic methodology that could lead to the development of rapid diagnostic techniques to use in clinical settings. From a total of 167 submitted forms from 5 veterinary clinics, 140 where canine and 27 feline cases. The distribution by dog breed included 48 mixed—breed, 14 Poodles, 8 Golden Retriever, 7 Pitbull, 7 German Shepherds, 7 Labrador, 7 Boxers, and other minor breeds. From the canine cases, a 40 % where included in a vaccination program and 44 % had anti-helminthic treatment under veterinary supervision. A 30 % have had both. Among the reasons for attending the veterinary clinic, we found 27 % associated with a gastrointestinal syndrome, 11 % genito-urinary, 28 % dermatological, 6 % ophthalmological, 17 % cardio-respiratory, 7 % tumoral, and 4 % neurological. The gastrointestinal cases were primarily associated with diarrhea, including parasitic disease and presumptive parvoviral and canine viral hepatitis infections. Regarding the feline cases, 11 were mixed-breed, 5 Siamese, 9 European, 1 Persian, and 1 Burmese. A 22 % had current vaccinations (triple and rabies) and 44% had anti-helminthic treatment under veterinary supervision. Only 15 % have had both. Among the reasons for attending the veterinary clinic, we found 46 % due to genito-urinary syndrome, 7 % gastrointestinal, 26 % cardio-respiratory, 8 % dermatological, 7 % ophthalmological and 6 % tumoral. A single case presented both gastrointestinal and dermatological signs. The data collected here demonstrates that only a small percentage of companion animals (<50 %) are under vaccination and anti-helminthic programs monitored by veterinarians. This highlights the need for intensifying the outreach and educational efforts to pet owners for the prevention of zoonotic diseases.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".