Characterization of energy expenditure and body composition in military personnel during a cold field training exercise
Bibliographic record
Abstract
The purpose of the following study was to re-address the energy requirements of Canadian Armed Forces (CAF) during training in a cold winter environment. Twenty CAF personnel were recruited to participate in a 5-day winter training exercise at Canadian Forces Base Meaford in Ontario, Canada. Energy expenditure (n=10) and body composition (n=14) were measured via the doubly labelled water (DLW) method and the deuterium isotope dilution technique, respectively. Mean total daily energy expenditure (TDEE) was 4900±693 kcal·day-1 with no significant differences observed between sexes. Body mass and body composition of CAF personnel changed significantly (p < 0.05) across the 5-day exercise. This decrease was associated with a significant (p < 0.05) reduction in fat mass. Despite these losses, participants were able to maintain high physical activity level (PAL) values (2.6) and high TDEE levels throughout the study period. It is recommended to increase the caloric content of the rations via additional supplements that provide energy-dense foods in bar format that can be easily consumed at the convenience of the individual.
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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 | 0.000 | 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) | 0.001 | 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".