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History and Current Use of Antimicrobial Drugs in Veterinary Medicine

2017· article· en· W2778001471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicrobiology Spectrum · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAntibiotic resistanceAntimicrobial stewardshipOne HealthFraming (construction)AntimicrobialPublic healthBiotechnologyAnimal healthAgricultureMedicineAntibioticsVeterinary medicineBiologyGeographyPathology

Abstract

fetched live from OpenAlex

This chapter briefly reviews the history and current use of antimicrobials in animals, with a focus on food animals in the more economically developed countries. It identifies some of the differences between human medical and food animal use, particularly in growth promotional and "subtherapeutic" use of medically-important antibiotics in animals. The public health impact of the extensive use of antibiotics in food animals for these purposes, differences internationally in such usage, and the major changes in current practices now underway in agricultural use are summarized. The emerging framing of the dimensions of antimicrobial resistance within a "One Health" framework is focusing global efforts to address the antimicrobial resistance crisis in a collaborative manner. The rapidly evolving development and application of practices of antimicrobial stewardship in animal is a critical part of the huge global effort to address antimicrobial resistance. The outcome is still uncertain.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.293
Teacher spread0.242 · 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