Immobilization of free-ranging Rocky Mountain Bighorn Sheep, Ovis canadensis canadensis, ewes with Telazol® and Xylazine Hydrochloride
Bibliographic record
Abstract
Immobilization of free-ranging Rocky Mountain Bighorn Sheep, Ovis candadenis canadensis, ewes with Telazol® and xylazine hydrochloride.Canadian Field-Naturalist 114(3): 471-475.We determined the efficacy of immobilizing human-habituated, free-ranging Rocky Mountain Bighorn ewes (Ovis canadensis canadensis) with Telazol® and xylazine hydrochloride (HCl) in summer and winter.Eleven sheep were approached from the ground and darted with one of three drug doses between 1995 and 1998.Mean induction time for the winter recommended dose (250:30 Telazol® and xylazine HCl) was 20.4 min (SD = 6.0, range = 14 to 27) and duration of immobilization averaged 78.3 min (SD = 20.2,range = 59 to 99).Mean induction time for the summer recommended dose (370:30 Telazol® and xylazine HCl) was 19 min (SD = 3.6, range = 15 to 22) and the mean duration of immobilization was 56 min (SD = 19.8,range = 42 to 70).Immobilization response times were not different by season, pregnancy status, or lactating state of ewes.When combined with Telazol®, the xylazine HCl dose required for effective immobilization was less than reported in other studies where xylazine HCI was used in combination with other drugs or used alone to immobilize Bighorn Sheep.In this study, 250 mg of Telazol® (4.2 mg/kg) and 30 mg xylazine HCI (0.5 mg/kg) in winter and 370 mg of Telazol® (6.2 mg/kg) and 30 mg of xylazine HCI (0.5 mg/kg) in summer provided effective and safe immobilization of human-habituated, free-ranging Bighorn ewes with minimal side effects.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".