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Record W3198881027 · doi:10.21423/aabppro20143717

Evaluation of risks of violative milk residues following extra-label topical administration of tetracycline for digital dermatitis in dairy cattle

2014· article· en· W3198881027 on OpenAlexaff
G. Cramer, Ron J. Johnson

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2014
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsTetracyclineMedicineRegimenDosingDairy cattleAntibioticsDermatologySurgeryPharmacologyMicrobiologyBiologyAnimal science

Abstract

fetched live from OpenAlex

Digital dermatitis (DD) is a commonly found foot lesion in cattle at the time of hoof trimming. At this point in time there are no licensed antimicrobials available for DD in North America, and DD is commonly treated with topical tetracycline antimicrobials at varying doses. This usage of topical tetracycline is extra-label drug use, and limited data is available to evaluate the risk of violative milk residues following treatment. Previous work that has evaluated the risk of violative milk residues only looked at one dosing regimen and used a tetracycline formulation that is currently not widely used by professional hoof trimmers or veterinarians. The objective of this project was to determine if various application methods or tetracycline dosages would result in tetracycline residue levels in milk.

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)0.005
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 score0.031
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
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 head0.059
GPT teacher head0.378
Teacher spread0.319 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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