Bibliographic record
Abstract
Canine Parvovirus [CPV] infection is a global infectious and highly contagious viral disease of canine, resulting in severe GIT disease and occasionally cardiac disease with high morbidity rate (up to 100%) and frequent mortality (up to 10%) (Anum, 1979). The pathogenicity and transmission of this virus is amazingly quick due to its unusual high contagiousness. The virus responsible for Canine Parvovirus is a non-enveloped DNA virus. Canine Parvovirus is a stable virus that can survive for up to 5-7 months in the environment, this means, susceptible dogs can contract the virus simply by coming in contact with the environment that had been contaminated months back. In the Teaching Veterinary clinical complex of CoVSc, Jalukie, Nagaland, it has been observed that dogs between 2-6 months of age which were not vaccinated indicated the highest prevalence. The condition is found to be more severe when the puppies are neither vaccinated nor dewormed. Dogs of any breed, be it non-descriptive (local) dogs or exotic breeds like German Shepherd, Golden Retriever, Doberman, and Labrador etc. are susceptible to this infection. Among different risk factors, young unvaccinated puppies and exotic breeds were more prone to CPV infection. Regarding the season, the highest prevalence was noticed in the month of December to February, i.e. during winter season.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".