A protocol for ovulation delay in women who cannot use estrogen, including Jewish women with Niddah issues and a pilot study
Bibliographic record
Abstract
Orthodox Jewish women abstain from sexual intercourse from the commencement of menstruation until seven days after the end of menstrual bleeding at which point they can immerse themselves in a ritual bath and recommence relations. For women who ovulate prior to commencing intercourse this results in religious infertility. The traditional treatment for religious infertility is oral estrogens in the early follicular phase to delay ovulation. However, certain groups of women have contraindications to oral estrogens. In this group, no treatment options have existed until now. In this study we proposed a treatment protocol substituting the use of gonadotropin releasing hormone-antagonists in the early follicular phase for the oral estrogens. In a small pilot study, we demonstrate that these two protocols have similar outcomes in terms of ovulation delay (p = 1.0) and likelihood of ongoing pregnancy (p = 1.0). This protocol for ovulation delay also has applications in non-Jewish women who need to delay ovulation due to life constraints.
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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".