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History and Current Use of Antimicrobial Drugs in Veterinary Medicine

2017· article· en· W2778001471 on OpenAlexaff
John F. Prescott

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.003

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations299
Published2017
Admission routes1
Has abstractyes

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