Amitraz toxicosis in 3 dogs after being in a rice field
Bibliographic record
Abstract
OBJECTIVE: To describe the clinical course and novel biochemical findings in 3 dogs with amitraz toxicosis. CASE SERIES SUMMARY: Three Labrador Retrievers developed acute onset obtundation to stupor after being in a rice field. On admittance to the hospital, they all displayed bradycardia, hyperglycemia, hyperlactatemia, respiratory acidosis, and metabolic alkalosis. All clinical signs resolved in 18-48 hours with supportive care. One dog represented with similar clinical signs and biochemical abnormalities 3 days after discharge following spending time in a different rice field owned by the same owner. Toxicological analysis of serum from all 3 dogs and vomitus from 1 dog returned positive for amitraz and one of its metabolites. NEW OR UNIQUE INFORMATION PROVIDED: This is the first case series of dogs with confirmed amitraz toxicosis following an environmental exposure. Novel biochemical findings of hyperlactatemia, respiratory acidosis, and metabolic alkalosis were documented in all 3 dogs. Clinicians should be concerned for amitraz toxicosis when presented with an animal with the constellation of signs including decreased mental status, bradycardia, and hyperglycemia, particularly if relevant acid-base abnormalities are also detected.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".