Overall prognosis with current treatment of infertility
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
Few reports provide pregnancy or birth rates for large groups of infertile couples having a comprehensive range of treatments. This model utilizes published evidence about diagnosis, treatment, the duration of treatment and the proportion of couples receiving treatment. Assisted reproduction technology treatment (ART) utilization was set arbitrarily at three levels: 3, 10 or 50% of the couples that had no live birth after conventional treatment. For each diagnosis and treatment the model estimated total live births, singleton live births and multiple live births per 10,000 couples. The overall live birth rate with non-ART treatment would be 37%, involving 3,725 live births, of which 3,478 (93%) would be singleton and 247 (7%) would be multiple. With ART utilization at 3, 10 and 50% of couples with persistent infertility in each diagnostic category, live birth rates were 39, 43 and 47% respectively, with 8, 10 and 12% multiple births. The corresponding utilization of ART would be 244, 813 and 1481 ART cycles per 10(6) population per annum. Typical management of infertility would fall short of 50% live births even with extensive utilization of ART. Underlying unknown untreatable factors remain barriers to greater overall success in the treatment of infertility.
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