Australians’ understanding of the decline in fertility with increasing age and attitudes towards ovarian reserve screening
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
The aim of this study is to determine Australians' understanding of the decline in fertility with age, social determinants that influence their decision to start a family and attitudes towards ovarian reserve screening as a tool allowing personalised reproductive life planning. An online survey of 383 childless Australian men and women, aged 18-45 years, was conducted. Both sexes overestimated natural and in vitro fertilization (IVF)-assisted fertility potential with increasing age, with the magnitude of overestimation being more pronounced for men and IVF treatment compared with natural conception. The primary determinants for starting a family were a stable relationship, followed by establishment of career; availability of accessible child care and paid parental leave were considered less important. Finally, the majority of women (74%) would alter their reproductive life planning if they were identified as having low ovarian reserve on screening. Despite increased education, Australians continue to have a poor understanding of age-related decline in natural and IVF-assisted conception, potentially explaining why many delay starting a family. Ovarian reserve screening may help identify individuals at increased risk of premature diminished fertility, giving these women the ability to bring forward their plans for natural conception or undertake fertility preservation (oocyte freezing).
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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