ENERGY INTAKE OF TWO NORWEGIAN EXPLORERS ON AN UNSUPPORTED SKI-TREK ACROSS THE ARCTIC OCEAN
Bibliographic record
Abstract
To assess energy intake of two male Arctic exploers (RG, TL) during a 109-d unsupported ski-trek across the Arctic Ocean, from Siberia to Cape Discovery, Canada, we analyzed food diaries recorded by the men during the trek. This 1,914-km journey is the first unsupported expedition to successfully cross the Arctic Ocean. Caloric intakes and macronutrient distributions were assessed from the self-reported food records. The rations consisted mainly of energy dense foods including oats, sugar, nuts, dry milk, vegetable oil, medium-chain triglycerides (MCT) oil, and freeze-dried meals. Lunch provided the majority of energy and was consumed at 50-minute intervals throughout the day. Actual energy intake averaged 5,132 kcals for TL and 5,275 kcals for RG. Macronutrient distribtutions during the trek for both men were similar. While the trend of lower CHO and higher fat intakes are comparable to other expeditions, the CHO levels during this trek were 7% lower than reported by Stroud (1997). Despite this low CHO percentage, the absolute CHO intakes were moderate, averaging 321g/day, allowing the explorers to maintain endurance to successfully complete their journey.Table
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".