A Case Report on Hepatozoon canis Infection in a Dog
Bibliographic record
Abstract
A thin peripheral blood smear collected from a four years of old dog (Labrador breed) was received from the Referral Veterinary Clinical Complex, Indian Veterinary Research Institute, Izatnagar to the Division of Parasitology, Indian Veterinary Research Institute, Izatnagar for the diagnosis of haemoprotozoan disease during the month of October, 2023. Blood smear was screened for the parasitological examination using Giemsa’s stain showed positive for Hepatozoon canis. The dog was treated with single dose of Imidocarb dipropionate @ 6.6 mg/kg subcutaneously and Doxycycline @ 5mg/kg orally for 28 days with supportive therapy. The dog was infected with Hepatozoon canis conventionally diagnosed as well as therapeutically managed. Incidence of H. canis was documented in a dog from Bareilly district of Uttar Paradesh.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".