Enzyme Immunoassay of Testosterone, 17β-Estradiol, and Progesterone in Perspiration and Urine of Preadolescents and Young Adults: Exceptional Levels in Men's Axillary Perspiration
Bibliographic record
Abstract
Enzyme immunoassays for testosterone, 17beta-estradiol, and progesterone were validated for human facial and axillary perspiration and compared to levels in urine. In study 1, these assays were applied to samples from preadolescent girls and boys and young women and men. Men's axillary perspiration contained substantially higher levels of steroids than seen in other substrates from men or in any sample from women, boys, and girls. Male axillary steroid levels were very variable across individuals, and on average they exceeded levels in facial perspiration by 90-fold for testosterone and 45-fold for estradiol. Men's urinary testosterone also exceeded urinary levels of the other subjects. In study 2, axillary perspiration, urine, and saliva were collected from young men. Substantial axillary levels of testosterone and estradiol were again observed. Correlations of the same hormone among the different substrates were generally very low, except for a small correlation between estradiol levels measured in axillary perspiration and urine in study 2. High unconjugated steroid content in men's axillary excretions could, if absorbed by women during intimacy, be implicated in pheromonal activity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".