Transportation stress and the incidence of exertional rhabdomyolysis in emus (Dromaius novaehollandiae)
Bibliographic record
Abstract
Many emu farms are located in areas lacking processing facilities that can handle these birds. Thus, long-distance shipping of birds to an abattoir is necessary. Two experiments were conducted, wherein emus were transported in a modified horse trailer for 6 h to an abattoir. Changes in the indices of stress and metabolic homeostasis (hematology, serum biochemistry, enzymes, and body temperature and weight) were used to evaluate the physiological response to transport. The activities of enzymes alanine aminotransferase, aspartate aminotransferase, and creatine kinase increased significantly (P < 0.001) from pretransport to slaughter, indicating muscle cell wall damages. The body temperature of emus was significantly (P < 0.001) increased from 37.0 to 39.6°C after transport in experiment 1 and from 37.2 to 38.9°C in experiment 2. Transport resulted in significant weight loss in both experiments (P < 0.001; 2.1 ± 0.2 kg vs. 0.6 ± 0.2 kg) and posttransport resting at lairage led to slight regaining (P < 0.01) of BW. Oral administration of supplements before and after transport was effective in protecting against muscle damage and faster recovery of BW losses during lairage. The clinical findings were suggestive of the incidence of exertional rhabdomyolysis and thus underlined the need for careful handling and improved transport conditions of emus.
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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 | 0.001 | 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) | 0.001 | 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".