Successful management and recovery following severe prolonged starvation in a dog
Bibliographic record
Abstract
OBJECTIVE: To describe the successful management of a dog following a period of prolonged food deprivation. CASE SUMMARY: A 7-year-old, intact male Labrador Retriever presented with profound weakness and loss of nearly 50% of his body weight due to severe prolonged starvation after being trapped in a well for 27 days. Electrolyte concentrations were managed with intensive intravenous supplementation during refeeding. The dog's electrolyte abnormalities resolved, wounds healed, and strength returned during the first 3 weeks of treatment. During the next 3 months, body condition score normalized and muscle mass improved. NEW OR UNIQUE INFORMATION PROVIDED: This report describes the management of a severely malnourished dog during refeeding, and highlights treatment considerations that may be important in the prevention of refeeding syndrome in such cases.
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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 | 0.000 | 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 | 0.001 |
| 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".