MétaCan
Menu
Back to cohort
Record W654566925

A Review of the Housing Conditions for Laboratory Animals

2014· review· en· W654566925 on OpenAlexaboutno aff
L. Jaasma

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2014
Typereview
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringEnvironmental scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The need for laboratory animals for the use of research is generally acknowledged by society. However, the use of animals for biomedical research has been a topic of debate for many years and raises ethical and moral concerns. An increasing demand for high standard animal models has led to guidelines and research focusing on or taking into account laboratory animal welfare and the quality of animal research and hereby also the development of the three R’s: Replacement, Reduction and Refinement. The three R’s are used in many countries and are incorporated into legislation and guidelines. This master thesis will focus on Refinement and provides an overview of the housing conditions of several countries/continents for the most commonly used laboratory animals (e.g. mice, rats, guinea pigs and non-human primates). By using legal documents of Europe, The United States, United Kindom, Australia and Canada as well as scientific research, well balanced standards and objective criteria regarding housing conditions and housing environment for laboratory animals are formed. Criteria concerning the micro-environment are given which includes cleaning routines, cage and space requirements, floors, bedding and nesting material, enrichment and social housing. Requirements for the macro-environment include temperature, ventilation, illumination, noise and humidity. Throughout this thesis it should become clear that each component of the micro- and macro-environment are very important to the health and welfare of the animals and therefore can have a large influence on the quality of life. Furthermore, each component should be carefully chosen/designed with consideration of the other components (e.g. the choice of ventilation will influence the humidity levels or different cage designs will require different ventilation rates). Extra measures on how to improve the welfare of laboratory or captive non-human primates are deliberated in the discussion due to the high cognitive capacities and sentiency of certain primate species which makes it difficult to house them.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.010

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 head0.065
GPT teacher head0.326
Teacher spread0.260 · 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 designSystematic review
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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueUtrecht University Repository (Utrecht University)Same topicAnimal Behavior and Welfare StudiesFrench-language works237,207