Preferences of mice, <i>Mus musculus,</i> for different types of running wheel
Bibliographic record
Abstract
Mice are increasingly used in research. In particular, their wheel running is often used as a measure of activity, and as a marker of phase of circadian rhythms. Learning about the preferences of mice for different types of wheel may improve their welfare and suggest ways of increasing activity levels. Mice, Mus musculus, were given a choice between different types of running wheel by putting them in cages equipped with two wheels. Strong preferences were shown for wheels with a plastic mesh flooring, rather than the standard metal rods only. The mesh was even preferred over a solid base, although this effect was not seen in mice that had been given access only to wheels with the solid base immediately prior to the choice test. Small diameter wheels, sometimes sold as mouse wheels, were preferred less than standard-sized wheels with rods. The results suggest that types of running wheel often used in laboratories can be improved by considering the animals' preferences. The types of wheel tested here are easy to maintain and entail little additional cost, while increasing the mouse's interest in running and exercise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".