Retrospective study of clinical and hematological aspects associated with dogs naturally infected by Hepatozoon canis in Ludhiana,Punjab,India
Bibliographic record
Abstract
Objective:To evaluate clinical and hematological aspects of dogs naturally infected with Hepatozoon canis(H.canis)presented at the Small Animal Clinics of Guru Angad Dev Veterinary and Animal Sciences University,Ludhiana.Methods:Blood films of 34 naturally infected dogs were examined for haematological alterations and parasitaemia.Signalment and clinical signs were recorded from the animals.Clinical histories were filled oul during the consultation.Results:Of the 34 positive dogs by Giemsa stained peripheral blood films.88.23%presented parasilaemia by H.canis only,while 11.77%had the combination of H.canis,Babesia sp.and Ehrlichia sp.Young male dogs less than oue-year-old,of nondescript breed,were the most commonly affected.And 26.47%were presented with anorexia/inappetence as the only clinical symptom.Other clinical symptoms were mild to moderate fever,pale mucosae and lethargy;a few were also showing the signs of vomiting and diarrhoea.Haematological alterations showed mainly normochromic-normocytic anaemia,leukocytosis and neutrophilia.Conclusions:The findings of this study substantiate that H.canis caused clinical and haematological alterations of the varied intensity in dogs,even with low parasilaemia.should he taken into consideration.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".