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Record W2124095019

The institutional animal care committee: Keystone of international harmonization

2008· article· en· W2124095019 on OpenAlexaboutno aff
Clément Gauthier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsnot available
Fundersnot available
KeywordsHarmonizationAuthorizationPolitical scienceBest practiceQuality (philosophy)BusinessPublic relationsPublic administrationLaw
DOInot available

Abstract

fetched live from OpenAlex

The various national systems of oversight for the care and ethical use of animals in science have many fundamental elements in common including: regulations/guidelines/policies, and training requirements for key staff. Authorization of animal use may occur centrally as in the UK, regionally as in several European countries, or locally, through institutional Animal Care Committees (ACCs), as in Canada, US and Australia. Canada is recognized as having pioneered the establishment of ACCs as the keystone of peer-based ethical review processes and local quality control. The institutional ACC has a central role to play in the international harmonization of standards because: it is representative of the scientific culture and moral values of home countries; it facilitates communications and empowers informed decision-making at the local level; it is already integrated as an accountable keystone of most national oversight and regulatory systems worldwide; and it provides each nation with enhanced ability to influence international harmonization of best practices for animal care and use in science.

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)0.229
metaresearch head score (Gemma)0.175
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.771
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2290.175
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.006
Science and technology studies0.0070.014
Scholarly communication0.0180.007
Open science0.0070.009
Research integrity0.0100.026
Insufficient payload (model declined to judge)0.0130.014

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 head0.146
GPT teacher head0.371
Teacher spread0.225 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
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

Citations5
Published2008
Admission routes1
Has abstractyes

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