BUTORPHANOL, AZAPERONE, AND MEDETOMIDINE ANESTHESIA IN FREE-RANGING EASTERN MOOSE (ALCES AMERICANUS)
Bibliographic record
Abstract
Fifty-three free-ranging moose (Alces americanus) cows were darted from a helicopter with 3–4 ml of a premix combination of butorphanol (27.3 mg/ml), azaperone (9.1 mg/ml), and medetomidine (10.9 mg/ml; BAM), equivalent to estimated dosages of: butorphanol 0.26 ± 0.08 (mean ± SD) mg/kg, azaperone 0.09 ± 0.03 mg/kg, and medetomidine 0.11 ± 0.03 mg/kg. After a mean chase time (from sighting to darting) of 6.1 ± 5.5 min, the mean induction time (from darting to recumbency) was 8.3 ± 2.6 min. This combination provided a safe and reliable sedation for minor procedures that lasted 30–60 min. Heart rate (50.4 ± 7.0 beats/min), respiratory rate (21.3 ± 11.1 breaths/minute), ETCO2 via nasal canula (43.2 ± 7.0 mmHg), and rectal temperature (38.5°C ± 0.7°C) mostly remained at expected values for wild cervid and bovid species anesthetized with this drug combination. SpO2 (90.0% ± 3.7%) was suggestive of moderate hypoxemia despite intranasal oxygen supplementation (1 L per 100 kg/min). The recovery time to standing was 6.7 ± 3.8 min after reversal with IM naltrexone (3 mg/mg butorphanol) and atipamezole (5 mg/mg medetomidine). Despite a larger volume to inject, this protocol offers an alternative to highly potent opioids, and should be considered for practical or staff safety reasons. On the basis of the results of this study, the use of 4 ml of BAM is considered a safe and effective protocol for immobilization of cow moose under comparable settings.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".