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Record W4400162239 · doi:10.3168/jdsc.2024-0559

Dairy goat sulfadoxine depletion trial in milk and diagnostic accuracy of the Charm Rapid One Step Assay (ROSA) SULF test

2024· article· en· W4400162239 on OpenAlexafffundabout
M. C. Hawley, Joe S. Smith, Kaitlyn V J Lawson, Jocelyn Jansen, R. D. Crawford, Afolakemi Adeniji, C.A. Bauman

Bibliographic record

VenueJDS Communications · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPharmacological Effects and Assays
Canadian institutionsMinistry of Agriculture, Food and Rural AffairsUniversity of Guelph
FundersOntario Ministry of Agriculture, Food and Rural AffairsUniversity of Guelph
KeywordsCharm (quantum number)Test (biology)Animal scienceMathematicsPhysicsBiologyParticle physicsBotany

Abstract

fetched live from OpenAlex

In Canada, currently no antibiotics are approved for use in lactating dairy goats. Trimethoprim sulfadoxine is indicated for the treatment of bacterial pneumonia, enteric and septicemic colibacillosis and salmonellosis, infectious pododermatitis, and septicemias. The aim of this study was to determine the trimethoprim sulfadoxine withdrawal time and evaluate the test accuracy of the Charm Rapid One Step Assay (ROSA) SULF test (Charm Sciences Inc.) at the individual goat level. The study was conducted on 20 visibly healthy Ontario dairy goats. They received trimethoprim sulfadoxine at a dose of 16 mg/kg i.m. once a day for 5 d as the commercially available preparation trimethoprim sulfadoxine (Borgal, Merck Animal Health). Residue levels were measured using liquid chromatography-tandem mass spectrometry and the Charm ROSA SULF. The withdrawal time was calculated using safe concentration linear regression. The determined milk withdrawal time was 60 h.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.295
Teacher spread0.244 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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