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Record W2249357845 · doi:10.21423/bovine-vol44no1p1-10

Clinical and Economic Effects of an Internal Teat Sealant at Dry-off on the Incidence of Clinical Mastitis in Early Lactation

2010· article· en· W2249357845 on OpenAlexaffabout
Paul Baillargeon, S.J. LeBlanc

Bibliographic record

VenueThe Bovine Practitioner · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMastitisMedicineIncidence (geometry)LactationIce calvingRelative riskAnimal scienceVeterinary medicineAntibioticsConfidence intervalInternal medicinePregnancyBiology

Abstract

fetched live from OpenAlex

Twelve commercial dairies in Quebec, Canada, evaluated the clinical and economic effects of using an internal teat sealant (ITS; Orbeseal®) combined with standard intramammary antibiotic dry-cow treatment on the incidence of clinical mastitis in early lactation. A total of 1,334 Holstein cows were randomly assigned to treatment of all four quarters with an antibiotic dry cow treatment (ADCT) alone or with antibiotic treatment and an internal teat sealant (ADCT+ITS) at dry-off. The incidence rate of clinical mastitis per 100 cow-days at risk during the first 105 days-in-milk was 22% lower (relative risk= 0. 78; 95% confidence interval 0.61 to 1.01) for theADCT+ITS group than for theADCT group. The daily probability of experiencing clinical mastitis, starting at calving, was reduced by 24% for the ADCT+ITS group. The net benefit, based on lost milk production associated with clinical mastitis, was approximately $20 Canadian (CDN) per cow for theADCT+ITS group due to the lower incidence of clinical mastitis, particularly soon after calving.

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)0.002
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 score0.220
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.031
GPT teacher head0.322
Teacher spread0.291 · 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

Citations4
Published2010
Admission routes2
Has abstractyes

Explore more

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