Non-aversive Animal Restraint Enabling Recording of Optomotor Reflex in Ground Squirrels
Bibliographic record
Abstract
The optomotor reflex (OMR) provides a behavioral assessment of an animal's contrast sensitivity and visual acuity. Mice or rats are typically placed directly onto a small circular platform by hand; however, handling animals like this can stimulate stress and anxiety, which introduce confounding factors when interpreting data. It has been shown that non-aversive handling methods, such as picking up mice or rats in a familiar tunnel/tube, can reduce anxiety. This is of particular interest in studies where animals display heightened stress, overactivity, or motor dysfunction, resulting in an inability to stay on the platform. A team led by Drs. Kiyoharu J. Miyagishima and Francisco M. Nadal-Nicolás have redesigned the conventional OMR platform to provide semi-closed containment. This makes it possible for the first time to record the optomotor reflex in the 13-lined ground squirrel, which is one of the few mammals that can see color. It has a visual streak with a high density of cones similar to the human macula providing an attractive model for studying effects on the cone visual system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".