Role of 14-Bp HLA-G, INDEL Polymorphism in Recurrent Miscarriage
Bibliographic record
Abstract
Mothers and their fetuses are hereditarily unlike. Surprisingly, no less than 50% human pregnancies reach full term despite the tendency of the immune system to eliminate of non-self units. Reduction of adaptive maternal immune answer, which is planned to reject strange factors, is essential for a pregnancy to reach full term. However, approximately 5% couples trying to conceive experience 2 recurrent miscarriages (RMs). HLA-G, which is produced by the external trophectoderm layer and has unique biological features, is involved in the implantation and maintenance of fetus. Serum HLA-G levels are correlated with the risk of RM. Recent studies indicate that a 14-bp HLA-G, INDEL polymorphism decreases the level of HLA-G mRNA, which in turn decreases the amount of HLA-G produced. An understanding of gene parameter and the function of polymorphic sites in the functioning of HLA-G products may enable the development of approaches targeting HLA-G for more detail of causes of RM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".