PW 2321 Human responses to five heated hypothermia enclosure systems in a cold environment
Bibliographic record
Abstract
Objective The purpose of the study was to determine, and compare, the effectiveness of five heated hypothermia enclosure systems (HES). Methods This study compared the thermal, physiologic and subjective responses of five subjects (one female) in five HES (with vapor barrier and chemical heat sources) during 60 min of exposure to a −22°C climate. The five systems were: 1) user-assembled (Control); 2) Doctor Down® Rescue Wrap® (DD); 3) Hypothermia Prevention and Management Kit (HPMK®); 4) MARSARS Hypothermia Stabilizer Bag (M); and 5) Wiggy’s Victims Casualty Hypothermia Bag (W). Core temperature, skin heat loss, and metabolic heat production were determined continuously. Subjective responses were also evaluated for: whole body cold discomfort; overall shivering rating; temperature rating; and overall preferential ranking. Results Total heat loss was higher with HPMK, W and M compared to Control and DD (p<0.05). Net heat gain was higher with the Control and DD compared to W and M (p<0.05). Control, M and DD consistently scored better in the subjective scales. Conclusions Although all systems provide insulation and heat, the Control (user-assembled), MASARS and Doctor Down systems were more effective, and preferred. Funding NSERC, Canada.
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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) | 0.003 | 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".