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Record W2132363194 · doi:10.4141/a06-033

Physiological and behavioural responses to short-haul transport by stock trailer in finished steers

2007· article· en· W2132363194 on OpenAlexafffundvenue
M. E. Booth-McLean, K. S. Schwartzkopf-Genswein, F. A. Brown, Cynthia Holmes, A. L. Schaefer, Tim A. McAllister, G. J. Mears

Bibliographic record

VenueCanadian Journal of Animal Science · 2007
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsAgriculture and Agri-Food Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHeart rateAnimal scienceHematocritChemistryMedicineInternal medicineEndocrinologyBiologyBlood pressure

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.108
GPT teacher head0.351
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2007
Admission routes3
Has abstractyes

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