Hematobiochemical Alterations and Therapeutic Management of Puerperal Tetany in Bitch
Bibliographic record
Abstract
A Pomeranian female dog four year old weighing 10 kg with litter size 5 puppies of Labrador mix, was presented to Sanjay Gandhi Animal Care Centre (SGACC) Rajouri garden New Delhi, India, with history of whelped 7 days back, lameness, hyperthermia, anorexia and restlessness. Clinical examination revealed pyrexia (104.8ËšF), tachyponea (50 breaths/min), tachycardia (105 beats per minute), congested mucous membrane, hind limb muscle twitching, severe panting, ataxia and stiffness. The case was tentatively diagnosed as eclampsia on the basis of history and clinical signs which was later confirmed by hematology and electrolyte analysis. History also revealed that the main predisposing factors which cause eclampsia in dogs are poor management, poor nutrition, excessive milk production, increased litter size. The bitch was treated with, intravenous 10 ml of 10% Calcium gluconate and Belladonna-30 orally along with supportive therapy which shows positive response to treatment and uneventful recovery 3 days after treatment.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 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".