Skewed X Inactivation and Recurrent Spontaneous Abortion
Why this work is in the frame
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Bibliographic record
Abstract
Recent studies show that women experiencing recurrent spontaneous abortion exhibit nonrandom X-chromosome inactivation (XCI) more often than in controls. This suggests that genetic factors may be important in explaining the losses in this subset of women. Nonetheless there are a number of possible explanations for this finding and the underlying causes may be heterogeneous. One hypothesis commonly cited is that a mutation on the X chromosome results in both preferential inactivation of the mutated X as well as lethality of male embryos inheriting this mutated X. However, this hypothesis does not explain the increase in chromosome abnormalities observed in the karyotyped losses from women with recurrent pregnancy loss and skewed XCI. This finding leads us to suggest that the mechanism involved may be associated with a reduction in number of ovarian follicles, either due to X mutations affecting oocyte atresia or a restriction in precursor pool size during development.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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