Current Methods in Investigating the Development of the Female Reproductive System
Bibliographic record
Abstract
The female reproductive system is important as the site for development and fertilization of an oocyte, for implantation and development of an embryo, and for growth and delivery of the fetus. It also produces protein and steroid hormones that help maintain a female's health. Although the female phenotype is the default pathway for the development of the urogenital system, many processes can become disrupted during and after development which may originate from developmental problems. Improper development can be the underlying cause of structural malformations, sub- or infertility, hormonal abnormalities, endometriosis, carcinogenesis, or other detrimental outcomes. Our research programs examine the normal physiology and function of the female reproductive system and how it can become damaged due to pathologies or environmental/therapeutic exposures, with a focus on the ovary, ovarian follicles, and ovarian hormones. This chapter will describe detailed protocols of an in vitro organ culture system and methods to analyze changes in follicle formation, follicle development, and ovarian physiology. These methods can also be applied to the study of other aspects of female reproduction.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.012 |
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".