The active mouse rests within: Energy management among and within individuals
Bibliographic record
Abstract
Abstract The relationship between daily energy expenditure (DEE) and resting metabolic rate (RMR) provides insight into how organisms allocate energy to maintenance versus energetically expensive activities such as locomotor activity. Three models have been devised to describe energy management: the allocation, independent and performance models, which, respectively, predict a DEE–RMR slope of b < 1, b = 1 and b > 1. Here, we took paired repeated metabolic and behavioural measurements in 51 female white‐footed mice to (a) evaluate which energy management models apply at the among‐ and within‐individual levels and to (b) quantify the relationship between metabolic traits and two energetically expensive behaviours. The DEE–RMR slope was different at the among‐ versus within‐individual levels, with values supporting the performance and allocation models at the among‐ and within‐individual levels, respectively. Accordingly, the relationship between voluntary wheel running and RMR was positive at the among‐individual level ( r = 0.40 ± 0.21), but negative at the within‐individual level ( r = −0.23 ± 0.10). To our knowledge, this is the first study to simultaneously partition the relationship between RMR and behaviour at the among‐ versus within‐individuals levels while determining which energy management models apply at each of these levels. In doing so, we have identified a mechanism through which compensation occurs at the within‐individual level. A free Plain Language Summary can be found within the Supporting Information of this article.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".