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Record W4411183187 · doi:10.1079/abwcases.2025.0018

Does Unusual Stomach-Lying Behaviour in FVB Laboratory Mice Reflect Pain and/or Poor Physical Health?

2025· article· en· W4411183187 on OpenAlexaff
Isaiah Morrow, Janet Sunohara-Neilson, Sarah Baert, Michaela S Randall, Michelle Gygax, Georgia Mason

Bibliographic record

VenueAnimal Behaviour and Welfare Cases · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLyingStomachMedicinePsychologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

In a university research facility, laboratory mice from the FVB strain were observed displaying an unusual form of inactivity, characterized by lying completely flat on the stomach, limbs sprawled out to the side or directly in front or behind. Since this strain is prone to diverse health concerns, and we had observed urinary calculi in this cohort, we had concerns that this behaviour could represent an unusual form of belly-pressing caused by abdominal pain. Such behavioural markers of poor physical health and welfare would be valuable because they can represent humane endpoints for research, help trigger interventions and improve colony management. To determine if relationships exist between this behaviour and health issues, intensive behavioural scans of 29 mice were therefore conducted for a week, and post mortem examinations then performed. No major health concerns were discovered that could explain this unusual behaviour. Potential future avenues of research include performing histology on tissues, and studying how weight and body temperature could play a role in the expression of this behaviour.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.379
Teacher spread0.339 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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