Knowledge and attitudes regarding elective oocyte cryopreservation in undergraduate and medical students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To assess knowledge and attitudes regarding elective oocyte cryopreservation among female undergraduate students (UG) and medical students (MS) in Eastern Virginia. An anonymous cross-sectional study surveying female UG at a local university and MS at our academic medical center in May of 2017. The survey contained questions on demographic information, interest in fertility preservation, and knowledge about age related changes in fertility. There were 74 of 102 female UG and 95 of 117 female MS who responded, for a response rate of 73 and 81% respectively. UG were significantly younger than MS (21.4 vs 26.8, p < 0.001). Further, UG generally planned on conceiving at a younger age than MS (age 26–30 vs 31–35), and favored younger ages to consider oocyte cryopreservation (age 26–30 vs 31–35). Only a minority of both UG and MS were willing to undergo egg freezing at the current price of approximately $10,000 (15% vs 26% respectively, p = 0.044). Moreover, 73% of students overall responded that they would be more likely to freeze oocytes if their employer paid. Notably, both UG and MS underestimated age of fertility decline. Both UG and MS revealed a need for education on age-related changes in fertility. Most UG and MS would not undergo elective oocyte cryopreservation at the present cost but would consider it at a lower cost.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.016 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it