Cattle deaths during sea transport from Australia
Bibliographic record
Abstract
OBJECTIVE: To establish the death rate and the causes of death in cattle exported by sea from Australia. PROCEDURE: Cattle deaths on voyages from Australia to all destinations between 1995 and 2000 were analysed retrospectively. On four voyages to the Middle East between December 1998 and April 2001, cattle that died were examined to determine the cause of death. RESULTS: The death rate was 0.24% among 4 million cattle exported, and a greater proportion of deaths occurred on voyages to the Middle East (0.52%, P < 0.05) than to south east Asia (0.13%). The risk of death on voyages to the Middle East was three times greater for cattle exported from southern ports in Australia compared to northern ports. The main causes of death were heat stroke, trauma and respiratory disease. CONCLUSION: Cattle have a low risk of death during sea transport from Australia. The risk of death can be reduced on voyages to the Middle East by preferentially exporting cattle from northern ports, and selecting those with a higher Bos indicus content whenever possible.
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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 | 0.002 |
| 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".