The effect of <i>RNLS</i> gene polymorphisms on preeclampsia susceptibility: a meta-analysis study
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
Aim: The authors designed a meta-analysis to find a comprehensive result of the impact of RNLS polymorphisms on preeclampsia (PE) susceptibility. Methods: The online databases PubMed, Scopus, and Google Scholar were employed for the purpose of literature search. Data analysis was conducted using STATA (ver. 12.0) and MetaGenyo web tool. Results: The findings showed that the RNLS rs10887800 polymorphism could increase risk of PE in allelic, codominant heterozygous and dominant genetic models. In addition, the analysis indicated that the RNLS rs2576178 polymorphism was associated with higher risk of PE in allelic, codominant homozygous, dominant, and recessive models. Conclusion: The findings of meta-analysis showed that the RNLS rs10887800 and rs2576178 polymorphisms could increase risk of PE in several genetic models.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.005 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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