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Record W2158399135 · doi:10.1071/an11286

An investigation into the efficacy of the Te Pari Patesco knife in providing a bare tip and the relationship between tail length and dag score in unmulesed Merino lambs

2012· article· en· W2158399135 on OpenAlexaff
J. E. Smith, Rob Woodgate, C. A. Curnow, D. L. Michael, A. J. van Burgel

Bibliographic record

VenueAnimal Production Science · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsEnvironmental management systemWoolAnimal scienceBiologyMathematicsVeterinary medicineIrrigationMedicineAgronomyMaterials science

Abstract

fetched live from OpenAlex

This study investigated dag accumulation between marking time and first shearing and wool cover of the tip of the tail in a total of 842 ewes and wethers, tailed either at the second or third joint using a standard gas knife or at the third joint using the Te Pari Patesco gas knife. Four hundred of the ewes had further measurements taken in 2011. The Te Pari-treated animals had significantly (P < 0.05) less wool on the tail tip than lambs treated with a standard gas knife. There were no significant differences in dag score between treatment groups in 2010; however, there were significantly (P < 0.05) less dags on animals in the Te Pari-treated group in 2011. This effect needs to be further investigated in a range of sheep genotypes, locations and seasons.

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)0.001
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 score0.028
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.043
GPT teacher head0.286
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

Citations0
Published2012
Admission routes1
Has abstractyes

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