A western Canadian study of the effect of winter transport conditions including acceleration on animal outcomes in cattle
Bibliographic record
Abstract
The intent of this study was to monitor the effect of Canadian winter commercial transport conditions on animal outcomes. A methodology was developed to measure acceleration on trailers transporting cull cows and a preliminary comparison of acceleration and carcass bruising revealed that further study of the relationship was warranted. The accelerometer methodology was used as one tool to examine factors influencing internal trailer microclimate and trailer acceleration on shrink, and severe bruising in finished cattle. This research has improved our understanding of Canadian winter transport conditions affecting finished cattle and demonstrated that there is a relationship between vertical rms of acceleration (P=0.0025), beta agonist use (P=0.0323), total wait time (P=0.0052) and the two way interaction of carcass position and yield score (P=0.0025) with cattle bruising. It also demonstrated that there is a relationship between journey duration (P<0.001), allometric coefficient (P<0.001), temperature humidity index (P<0.001) and prod use during loading (P=0.0012) with cattle shrink.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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".