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Record W6987516384

Surplus Dairy Calf Transportation: Effects on Lying Behavior and Investigating Nutritional Strategies to Improve Health, Growth, and Behaviour

2023· dissertation· en· W6987516384 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Specialized Academic Research
Canadian institutionsnot available
FundersDairy Farmers of Canada
KeywordsLyingAnimal husbandryDiarrheaAnimal welfareDairy cattleBody weightHealth benefits
DOInot available

Abstract

fetched live from OpenAlex

The objective of this thesis was to investigate the impact of long-distance transportation on calf health and welfare using a multidisciplinary approach. This thesis investigates the effect of 6, 12, and 16 h of transportation on surplus calf lying behaviour. Calves transported for 12 h and 16 h spent less time lying down and a greater number of lying bouts on the day of transportation than calves transported for 6 h. Calves transported for 16 h had the greatest lying time on the day following transportation. This thesis also assessed the effect of feeding calves a high sodium (ORS-D) or potassium oral rehydration solution (ORS-T), or milk replacer (MR) during a mid-transportation rest period on health and behaviour outcomes. Calves fed ORS-T or ORS-D had more fat mobilization than calves fed MR. Calves fed ORS-T tended to have a higher level of diarrhea and respiratory disease than calves fed MR.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.269
Teacher spread0.230 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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