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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".