Hematobiochemical Alterations and Therapeutic Management of Puerperal Tetany in Bitch
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| 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 it