Surgical Management of Intestinal Obstruction Due to Black Natural Pebble Stone in a Labrador Female Dog
Bibliographic record
Abstract
The present study was conducted at the Department of Veterinary Surgery and Radiology, College of Veterinary Science and Animal Husbandry, Kamdhenu University, Junagadh, Gujarat, India during the February 2022. A 4 year and 6 months old Labrador retriever female dog with history of constant vomiting, complete anorexia, abdominal pain, absence of defecation and partially responding to medical treatment since a last three months was presented to Department of Veterinary Surgery & Radiology, COVS & AH, KU, Junagadh. Radiological examination revealed single stone like slightly uniform radiopaque structure seen in intestinal area. Haematological examination reveals polycythemia, neutrophilia and increased levels of, WBC, RBC indices, MCV and MCH, Urea, Total protein, and ALP. Other haematological and blood serum values were within the normal limit. Surgical removal of black natural pebble stone under general anaesthesia with Atropine @ 0.04 mg kg-1 as pre-anaesthetic, Ketamine @10mg kg-1 and Diazepam @ 0.05 mg kg-1mixture anaesthesia as induction and Isoflurane for maintenance with vapour setting 3‒4% at induction with oxygen flow at 60 L kg-1 and is reduced between 1‒3% during the maintenance with oxygen flow at 20 L kg-1was found suitable anaesthetic protocol. Post operatively intravenous fluid was given for five days as ringers lactate, dextrose normal saline, dextrose 25% and Metrogyl. Melonex was given @ 0.5 mg kg-1 as a pain killer for three days subcutaneously. Ceftriaxone was given @ 25 mg kg-1 as a antibiotics along with antiseptic surgical wound dressing with liquid betadine and stitches was removed on 12thpost operative day. Animal showed uneventful recovery after surgery with diminishing the symptoms. History was taken up to 6 month but no incidence of intestinal obstruction was noted.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".