CHEMICAL IMMOBILIZATION OF RACCOONS (PROCYON LOTOR) WITH KETAMINE-MEDETOMIDINE MIXTURE AND REVERSAL WITH ATIPAMEZOLE
Bibliographic record
Abstract
Safe and reliable capture techniques for wild animals are important for ecologic studies and management operations. We assessed the efficiency of ketamine-medetomidine (K:M) injection and reversal with atipamezole. We anesthetized 67 raccoons (Procyon lotor; 34 males, 33 females) 103 times (individuals captured between one and five times) from April 2009-October 2010 in Mont-Orford Provincial Park, Quebec, Canada. We administered a 1:1 mixture by volume of ketamine and medetomidine by intramuscular injection. Mean (±SD) induction times for males and females were 6.1±2.8 and 6.6±3.7 min, respectively. Mean induction time was 2 min longer for juveniles than for adults (7.8±3.9 and 5.8±2.9 min, respectively) and longer in autumn than in spring for adults (7.7±3.8 and 5.4±2.9 min, respectively). Recovery time after administration of atipamezole was 9.6±3.8 and 8.4±4.4 min for males and females, respectively. Recovery time was longer in spring than in autumn (10.2±4 and 7.4±3.8 min, respectively) for adults. Induction time increased by 166% after five captures of the same individual. Immobilization did not affect body mass, adult survival, or female reproductive success. We suggest the K:M mixture used is a safe and reliable method for anesthetizing raccoons in field conditions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".