Validation of laser Doppler flowmetry for the continuous measurement of women's genital response
Bibliographic record
Abstract
Laser Doppler imaging is a valid method of assessing genital response, detecting increases in genital blood flow to sexual, but not nonsexual stimuli. Although laser Doppler imaging provides a direct measure of genital blood flow, its discrete perfusion images provide a discontinuous assessment of genital response, limiting some study designs. The aims of this study were to investigate the measurement properties of laser Doppler flowmetry, a direct and continuous measure of blood flow, as well as examine the time course of genital response using flowmetry. A sample of 45 cisgender women attended two experimental sessions wherein they viewed sexual and nonsexual stimuli (e.g., neutral, anxiety, humor) while their genital responses were assessed using laser Doppler flowmetry. As expected, laser Doppler flowmetry was a valid measure of genital response-detecting increases in genital blood flow elicited by the sexual stimuli only-and was sensitive to varying degrees of genital response elicited by low, moderate, and high-intensity sexual stimuli. The measure also exhibited convergent validity with genital response assessed via laser Doppler imaging, test-retest reliability across testing sessions, and internal consistency as well as high sexual concordance with self-reported sexual arousal. Descriptive analyses showed that genital blood flow assessed using laser Doppler flowmetry was highly responsive, with initial, peak, and return to baseline responses occurring within timeframes appropriate for repeated measurement within a single session. Laser Doppler flowmetry is a valid, reliable, and sensitive measure of women's genital response that can be usefully applied in sexual psychophysiology research.
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 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 | 0.027 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".