066 Anatomic Sites and Risk Factors for Deep Dyspareunia
Bibliographic record
Abstract
Deep dyspareunia negatively impacts women’s sexual function, relationships, and quality-of-life. However, compared to superficial dyspareunia, there is relatively less known about the pathophysiology of deep dyspareunia. Our objective was to identify anatomic sites and underlying risk factors for deep dyspareunia in women with endometriosis and/or pelvic pain. This study involved the analysis of cross-sectional baseline data from a prospective cohort of 548 women (87% consent rate), recruited between Dec 2013 and Apr 2015. The setting was a tertiary referral center for endometriosis and/or pelvic pain. Exclusion criteria included menopausal status and age > 50. Primary outcome was severity of deep dyspareunia on a 0-10 numeric rating scale. We performed a standardized endovaginal ultrasound-assisted pelvic exam to palpate anatomic structures for tenderness and reproduce deep dyspareunia. Underlying risk factors for each tender anatomic site were identified from standardized questionnaires and medical records. Multivariable regression was used to determine which tender anatomic structures were independently associated with deep dyspareunia severity, and to identify risk factors.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".