CLINICO-THERAPEUTIC MANAGEMENT OF EPILEPTIC SEIZURES IN A LABRADOR DOG
Bibliographic record
Abstract
A female Labrador dog of age three years.was reported to VCC, College of Veterinary and Animal Science, Udaipur, with a previous history of apparent blindness, circling movement, walking aimlessly and also vigorous peddling of its limbs.It was previously vaccinated.It had the history of seizures earlier.Deworming was done regularly.Haematological examination revealed normal blood parameters.It is suspected to be a case of symptomatic epilepsy due to intra cranial lesions.It was treated with phenobarbitone, diazepam, methyl prednisolone sodium succinate and mannitol for five days.The fluid therapy was continuously administered to avoid the hypoglycemia and dehydration.Complete Remission of symptom was seen after five days of successfully treatment.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".