The Montreal Criteria and uterine transplants in transgender women
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
Ever since its first documented live birth in 2014, the use of uterine transplantation (UTx) for the treatment of absolute uterine factor infertility (UFI) has seen major clinical advances, which include the use of alternative surgical approaches, different donor states, and diverse patient populations. In addition to the thorough research programs that developed the technique, this accomplishment has occurred in large part following a number of ethical frameworks, such as the Montreal Criteria and the Indianapolis Consensus, which paved the way to transition from experimental animal trials to human ones. To date, over 60 uterine transplants have been performed in the world, and at least 18 births have been thus far confirmed. While the procedure remains experimental, the vast knowledge and procedural experience amassed over the last 20 years of rigorous research have hinted at the next step of discovery. In particular, advancing social circumstances have prompted the question regarding the use of this technology in transgender individuals. Though the potential use of uterine transplants in the transgender population has been hypothesized, no in-depth ethical framework has been developed towards this purpose. Herein, we explore the ethical issues revolving around the use of this technology in this patient population and provide key insights that may advance this cause.
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