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
A considerable number of women with breast cancer are diagnosed during their reproductive years. In the short period of time in which newly diagnosed women will need to make decisions about surgical options and adjuvant therapy, younger women with breast cancer also face the potential impairment or complete loss of their fertility. The preservation of fertility should therefore be an integral consideration in the choice of breast cancer therapy. Preserving ovarian function is particularly challenging for women with estrogen receptor-positive tumors, as the suppression of ovarian function has been shown to be beneficial therapy with regard to breast cancer outcomes. The current emerging recommendations of hormonal therapy extending to a 10-year period will likely further impact the timing of any subsequent pregnancy or require an interruption in hormonal therapy. To optimally counsel patients on how to best weigh the risks and benefits of each intervention, both the care provider and the patient must understand the options and the likelihood of their success. Here we summarize the current challenges and options for women diagnosed with breast cancer who wish to preserve their fertility.
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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