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Record W2556157095 · doi:10.1002/9781118696781.ch1

Basic Considerations for the Analyst for Veterinary Drug Residue Analysis in Animal Tissues

2016· book-chapter· en· W2556157095 on OpenAlexaff
James D. MacNeil, Jack F. Kay

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Residue Analysis and Safety
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsVeterinary drugVeterinary DrugsGuidelineEuropean commissionResidue (chemistry)TerminologyCommissionBusinessMedicinePolitical scienceVeterinary medicineChemistryPathologyEuropean unionInternational tradeLawBiochemistryChromatography

Abstract

fetched live from OpenAlex

This chapter discusses some of the terminology that is commonly applied in veterinary drug residue analysis in animal tissues, as well as some of the basic information on pharmacokinetics, metabolism, and distribution that help with direct choices of analyte and matrix and that also inform the interpretation of analytical results. It reviews the common national and international approaches to the regulation of veterinary drug residues in foods and the establishment of maximum residue limits (MRLs). Knowledge of the metabolism can enable the analyst to distinguish between residues resulting from treatment with a drug and post-mortem contamination of tissues or fluids. Under procedures and guidelines which may be referenced in disputes referred to the the World Trade Organization (WTO), the Codex Alimentarius Commission (CAC) has approved a guideline for the settling of disputes between member states over analytical result.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0030.000

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 head0.056
GPT teacher head0.273
Teacher spread0.217 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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