Additional file 1 of Consistent cord blood DNA methylation signatures of gestational age between South Asian and white European cohorts
Bibliographic record
Abstract
Additional file1 Table S1. Quality controls for the inclusion/exclusion of samples and methylation probes. Table S2. Characteristics of CHILD and START epigenetic subsample vs. the overall cohort. Table S3. CpGs associated with gestational age in CHILD or START with FDR adjusted p-value < 0.05. Table S4. Measures of type I error inflation for EWAS association p-values in CHILD and START. Table S5. Significantly associated DMR identified in CHILD. Table S6. Significantly associated DMR identified in START. Table S7. Significantly enriched biological pathways for DMRs associated with chronological GA at birth in CHILD and START. Table S8. GWAS genes associated with T2D or GDM mapped to CpGs significantly associated with GA in START or CHILD. Table S9. Enrichment of GWAS genes associated with T2D or GDM using a two-sample binomial test. Table S10. Differences in gestational age, epigenetic gestational age and acceleration between studies or sex. Table S11. Associations between gestational age, epigenetic gestational age, acceleration of gestational age, and maternal and offspring characteristics in CHILD. Table S12. Associations between gestational age, epigenetic gestational age, acceleration of gestational age, and maternal and offspring characteristics in START
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.
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 | 0.002 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.571 | 0.082 |
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".