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Comparing caustic paste vs caustic stick vs hot- iron+lidocaine disbudding in young dairy calves: behavioral response following disbudding and healing

2016· article· en· W3109184402 on OpenAlexaff
Natalie Newby, Derek B. Haley, Dan Shock, K. Lissemore, Suzanne T. Millman, Sabrina Iliopoulos, T.F. Duffield

Bibliographic record

VenueThe Bovine Practitioner · 2016
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLidocaineMedicineAnesthesiaCaustic (mathematics)SurgeryAnimal scienceMathematicsBiology

Abstract

fetched live from OpenAlex

This study evaluated the behavior of calves following different disbudding methods, and evaluated the scarring between these methods in the weeks that followed. Dairy calves (1 to 15 days of age) were subjected to 1 of 3 methods: caustic paste (CP n = 123), caustic stick (CS n = 123), and hot-iron+lidocaine (HI n = 130). The calf’s latency to approach a person was recorded 1 day and 7 days after disbudding. Calves in the caustic paste group were more likely to approach after 1 sec compared to the other methods. Hot- iron+lidocaine disbudding produced smaller scars (0.47 ± 0.26 in (1.2 ± 0.67 cm) mean diameter ± SD vs CS = 1.5 ± 0.47 in (3.8 ± 1.2 cm) and CP = 1.2 ± 0.35 in (3.1 ± 0.90 cm)), but had greater odds of redness (OR = 6.6), purulent discharge (OR = 13.6), and crust (OR = 48.9) 3 weeks after disbudding compared to the caustic methods. Weight gain at 6 weeks was similar between treatment groups. Horn regrowth at 6 weeks and 6 months after disbudding was not different between the methods used, and thus caustic chemicals were as effective as the hot-iron+lidocaine method to disbud dairy calves.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.065
GPT teacher head0.352
Teacher spread0.287 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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