The evaluation of human thermo regulatory responses in varying weather states
Bibliographic record
Abstract
The thermal responses to environmental conditions consisting of varying wind speeds and wave heights were measured using volunteers at the National Research Council of Canada’s Institute for Ocean Technology. Twelve healthy males performed three, three hour immersions in Calm Water, Weather 1 (wind speed = 3.5 m·s-1, max wave height = 0.34m), and Weather 2 (wind speed = 4.6 m·s-1, max wave height = 0.64m) in a commercially available immersion suit. The two weather conditions produced significantly greater heat flow in the participants compared to the Calm condition. There was no significant difference in deep body temperature across all immersion conditions; however Weather 2 produced a significantly greater drop in mean body temperature (-1.51°C) compared to the Calm condition (-1.10°C). Small changes in cutaneous blood flow and increased metabolic heat production allowed the participants to successfully thermoregulate in the environmental conditions tested. It is recommended that future testing of humans in immersion suits incorporate the increased heat loss due to wind and waves.
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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) | 0.000 | 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".