Emergency Canine Surgery in a Deployed Forward Surgical Team: A Case Report
Bibliographic record
Abstract
INTRODUCTION: Forward surgical teams (FSTs) perform a variety of non-doctrinal functions. During their deployment to Afghanistan, the 541st FST (Airborne) performed emergency surgery on a German shepherd military working dog (MWD). METHODS: Retrospective examination of a case of veterinary surgery in a deployed FST. RESULTS: A 5 1/2-year-old German shepherd MWD presented with extreme lethargy, tachycardia, excessive drooling, and a firm, distended abdomen. These conditions resulted from gastric dilatation with volvulus. Since evacuation to a veterinarian was untenable, emergency laparotomy was performed in the FST. The gastric dilatation with volvulus was treated by detorsion and gastropexy, and the canine patient fully recovered. CONCLUSION: Canine surgery can be safely performed in an FST. Based on the number of MWDs deployed throughout the theater, FSTs may be called upon to care for them in the absence of available veterinary care.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".