Accuracy and Precision of the SlateSafety BandV2 and CORE Devices in Estimating Resting and Moderate Hyperthermic Exercise Temperature in Eumenorrheic Females
Bibliographic record
Abstract
PURPOSE: Core temperature (Tcore) monitoring is used in the prevention of heat illnesses and for heat-acclimation purposes. We examined the accuracy and precision of 2 commercially available devices (BandV2 and CORE) that estimate Tcore versus rectal temperature. METHOD: Eight eumenorrheic females (V˙O2max: ∼41 mL·kg-1·min-1) completed 60 minutes of cycling in the follicular phase and the luteal phase over 2 separate cycles, wearing a minimally permeable clothing ensemble to amplify thermal load. RESULTS: Both devices proved to be precise at rest and during exercise. Between duplicate follicular and luteal tests, the CORE device bias was 0.1400 (0.33) °C and 0.0331 (0.42) °C, and the BandV2 device bias was 0.0418 (0.18) °C and -0.0171 (0.21) °C. Compared with rectal temperature, accuracy was below our preestablished criterion of ±0.27 °C. At rest, the devices underestimated Tcore: BandV2, -0.2735 (0.25) °C, and CORE, -0.2746 (0.28) °C, and at the 55-minute time point, both devices overestimated Tcore: BandV2, +0.5117 (0.37) °C, and CORE, +0.3319 (0.43) °C. The delta increase in Tcore did not differ between menstrual-cycle phases. CONCLUSIONS: The BandV2 and CORE indirect sensors currently offer precise but not accurate estimates of Tcore.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".