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Record W2910873745 · doi:10.1002/cpmo.59

Housing Gnotobiotic Mice in Conventional Animal Facilities

2019· article· en· W2910873745 on OpenAlexafffundabout
M Lange, Richard R. E. Uwiera, G. Douglas Inglis

Bibliographic record

VenueCurrent Protocols in Mouse Biology · 2019
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of AlbertaUniversity of Lethbridge
FundersAgriculture and Agri-Food Canada
KeywordsBiosafetyIsolatorBiosecurityGermBiologySpecific-pathogen-freeBiotechnologyImmunologyCell biologyEngineeringEcologyElectrical engineering

Abstract

fetched live from OpenAlex

Gnotobiotic mice are an established, robust model utilized in current research to study host-microbiota interactions. For years isolators have been used to rear germ-free and gnotobiotic mice. However, isolators can be costly and the segregation of treatments within the same isolator is problematic. Recently, methodologies for housing germ-free mice in specially designed individually ventilated cages (IVCs) operated under barrier mode have been developed; however, this equipment is costly and its operation in barrier mode for research involving germ-free mice and pathogens is not permissible under modern biosafety and biosecurity regulations. This article describes a method to house germ-free mice in a commonly available conventional IVC system operated under containment mode. This technique allows researchers to maintain the germ-free or gnotobiotic status of mice tested up to 4 weeks with weekly handling while working with pathogens using each IVC as a separate experimental unit. © 2019 Her Majesty the Queen in Right of Canada.

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0230.015

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 head0.078
GPT teacher head0.410
Teacher spread0.333 · 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
GenreMethods

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

Citations12
Published2019
Admission routes3
Has abstractyes

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