Agreement between the ventilated capsule and the KuduSmart® device for measuring sweating responses to passive heat stress and exercise
Bibliographic record
Abstract
ABSTRACT The present study assessed agreement between the KuduSmart® device and the ventilated capsule (VC) technique for measuring: i) minute-averaged local sweat rate (LSR); ii) sweating onset; iii) thermosensitivity; and iv) steady-state LSR, during passive heat stress and exercise. On two separate occasions for each heat stress intervention, participants were either passively heated by recirculating hot water (49°C) through a tube-lined garment until rectal temperature increased 1°C over baseline (n=8), or walked on a treadmill for 60 minutes at a fixed rate of heat production (n=9). LSR of the forearm was concurrently measured with a VC and the KuduSmart® device secured within ∼2 cm. Mean body temperature was calculated as the weighted average between rectal (80%) and mean skin (20%) temperature. Using a ratio scale Bland-Altman analysis with the VC as the reference, the KuduSmart® device demonstrated systematic bias for minute-averaged LSR (1.19 [1.09, 1.28]) and steady-state LSR (1.16 [1.09,1.23]), however no bias for thermosensitivity (1.08 [1.00, 1.16]) or sweating onset (1.00 [1.00, 1.00]). Although poor agreement was observed for minute-averaged LSR (CV = 43.3%), more than 73% of all observations with the KuduSmart® device (n=2795) were within an absolute error of < 0.2 mg/cm 2 /min to the VC. The KuduSmart® device demonstrated acceptable agreement for steady-state LSR (CV = 19.5%) and thermosensitivity (CV = 21.7%), and almost perfect agreement for sweating onset (CV = 0.14%). Collectively, the KuduSmart® device may be a satisfactory in-field solution for assessing the sweating response to heat stress.
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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 | 0.018 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".