The endogenous activity patterns of Africa’s smallest terrestrial mammal, the pygmy mouse (<i>Mus minutoides</i>)
Bibliographic record
Abstract
The endogenous rhythmicity of the locomotor activity and subsequent entrainment by light cycles of the pygmy mouse (Mus minutoides A. Smith, 1834) was investigated under laboratory-controlled conditions. Seasonal trapping in the field was used to assess the predominant activity phase in their natural habitat, and determine whether seasonal variation in activity occurs in the field. Mus minutoides were subjected to a series of light cycles starting with a 12 h light (L) : 12 h dark (D) cycle (2 weeks) to determine whether they entrain their activity patterns to light cues, after which they were maintained in constant darkness (3 weeks) and the endogenous rhythm allowed to free run; the tau for each animal’s endogenous activity rhythm was then calculated. This was followed by another 12 h L : 12 h D cycle (2 weeks) before the cycle was inverted to 12 h D : 12 h L (2 weeks) to assess the rate of re-entrainment. The animals were then exposed to long (16 h L : 8 h D) and short (8 h L : 16 h D) photoperiods for a 6-week period under each lighting regime. Changes in foraging behaviour and body mass were recorded throughout the study. Mus minutoides is strictly nocturnal in both the laboratory and the field, it caches food in its nest, and it cannot be trapped during the winter months in this environment.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".