Immobilization of Elk, <em>Cervus elaphus</em>, with Telezol and Xylazine and Reversal with Tolazine or Yohimbine
Bibliographic record
Abstract
During January 2003 and March 2005, a Telazol®/xylazine mixture was used to immobilize 4 free-ranging Elk in Ontario, Canada. A dosage of 3.3-3.6 mg/kg of Telazol® and 1.7-2.0 mg/kg of xylazine proved to be effective for the rapid immobilization of Elk. Induction time for those dosages was as short as 3-4 minutes. The advantage of using Telazol® is that only small volumes (3-4 ml) are needed to immobilize Elk-sized animals. In addition, Tolazine® and yohimbine both proved to be effective antagonists for xylazine with recovery times of 8 to 15 minutes when administered at dosages of 3.3-3.6 and 0.08-0.14 mg/kg, respectively. The use of oxygen proved to be effective for treatment of hyoxemia in Elk immobilized with a Telazol®/xylazine mixture. The immobilization procedures and the drug and antagonist dosage information will be useful to researchers planning to capture free-ranging Elk for activities such as radio-collaring and blood sampling.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".