Validation of <scp>GPS</scp>kin Barrier<sup>®</sup> for assessing epidermal permeability barrier function and stratum corneum hydration in humans
Bibliographic record
Abstract
Abstract Background Measurements of transepidermal water loss (TEWL) and stratum corneum (SC) hydration are important for assessing epidermal functions. However, the availability of reliable and user‐friendly devices, which can simultaneously measure both TEWL and SC hydration and can allow health providers to remotely access data in time, is limited. Materials and Methods GPSkin Barrier® was compared with MPA5 system in the measurements of TEWL and SC hydration on the cheek, the dorsal hand, and the forearm in 200 normal volunteers, including 126 females and 74 males, aged 1‐78 years with an average age of 45.24 ± 1.04 years. Correlation of data measured with MPA5 system and GPSkin Barrier® was determined. Results Levels of both TEWL and SC hydration measured with the Barrie GPSkin Barrier® were lower than that with MPA5 system on all 3 body sites except for hydration on the cheek. The levels of both TEWL and SC hydration measured with GpSkin Barrier® were correlated well with that measured with MPA5 system on all 3 body sites Conclusions GPSkin Barrier® is a reliable, affordable, and versatile device for assessing epidermal permeability barrier function and SC hydration.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| 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".