Physiological and behavioural responses to short-haul transport by stock trailer in finished steers
Bibliographic record
Abstract
Nineteen British cross-bred steers (623 ± 10.6 kg) were transported in groups of four or five for 3 h and returned to their home pens. Jugular cannulas, heart rate (HR; BPM) monitors and radio transmitters were used to non-invasively collect physiological data. Heart rate (n = 13) was lower during highway travel (83.5 ± 3.15, P > 0.05) compared with pre-loading (118.9 ± 3.19, P < 0.01) and off-loading (97.5 ± 4.47) but was not different from travel in town (88.8 ± 2.90). Plasma cortisol concentration (µg dL-1, n = 16) increased from pre-loading (1.87 ± 0.28) to off-loading (3.10 ± 0.28, P < 0.02) and decreased to 1.16 ± 0.28 µg dL-1 by 1 h after off-loading (P < 0.001), a value not different from pre-loading levels. Body temperature measured at offloading was 0.19°C higher (P < 0.001) than at pre-loading. No differences in the time spent eating and ruminating were observed when compared between a 1-h period 1 d prior to transport and the same time of day post-transport (P > 0.50). Increases in HR (P < 0.01) and lying time (P < 0.001) post-transport compared with the days prior suggest cattle experienced some fatigue. Mild, short-term stress responses were observed in finished steers exposed to 3 h of transportation. Key words: Cortisol, heart rate, hematocrit, behaviour, steers, transportation
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".