Pathological diagnosis of babesiosis in a labrador retriever
Bibliographic record
Abstract
A 2-year-old male Labrador retriever dog was presented to veterinary clinical complex, CVSc, Rajendranagar, PVNRTVU, Hyderabad, with the history of inappetence, brownish urine, blood vomiting and diarrhea, and with the past history of tick infestation. Clinical examination revealed rise in the normal body temperature with intermittent relapse of fever, sunken eyeballs with pale conjunctival mucus membrane, severe dehydration, lymphadenopathy, tachycardia and tachypnoea. Faecal sample examination was negative for presence of any parasitic ova. Kidney function tests revealed elevated serum creatinine and BUN levels. Liver Function tests recorded hypoproteinemia, hypoalbuminemia and decreased glucose levels, with elevated serum SGPT values. Haematological examination documented hemolytic anaemia and mild thrombocytopenia. On Peripheral blood smear examination, presence of typical large pyriform, paired Babesia organisms within the erythrocytes were observed. The PCR report confirmed the presence of Babesia gibsoni infection. On postmortem examination, grossly blood-tinged frothy exudate was observed in the trachea, while the lungs were emphysematous and hemorrhagic. Hydropericardium was evident in the heart, kidneys were congested with generalized petechial hemorrhages. Hepatic congestion in the liver and engorged blood vessels in gall bladder was documented. Significant splenomegaly and enlarged hemorrhagic lymph nodes were noticed. Histopatho- logically, emphysema and edema of the lungs, with inter-septal infiltration of the lymphocytes noticed. Focal tubular necrosis, tubular desquamation and interstitial hemorrhages was observed within the kidneys. On further examination, the lymph nodes showed fibrous tissue proliferation, while the spleen revealed lymphocytic depletion and edematous fluid accumulation.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".