Bibliographic record
Abstract
DNA methylation is an enzymatic modification of the DNA molecule that confers unique differential identities upon similar DNA sequences. DNA methylation plays a critical role in cellular differentiation by conferring cell-type identity upon differentiated tissues in multicellular organisms by an innate developmentally programmed process. Recent data points to the possibility that DNA methylation plays a role in responding to external cues and conferring environment-context identity to DNA. DNA methylation is implicated in the response to early life social environment and might be playing an important role in setting up stable behavioral phenotypes in response to early-life social environment. The critical question is whether these responses are limited to the brain or involve the immune system as well. Addressing this question has important implications on understanding the mechanisms involved in DNA methylation mediated responses to the environment and how they impact the phenotype as well as on the possibility of studying the associations between DNA methylation and behavior and behavioral pathologies in living humans. A model is presented suggesting that DNA methylation acts as a mechanism of genome adaptation to the environment that is genomewide and systemwide. New data suggesting associations between DNA methylation patterns in white blood cells and the social environment will be discussed.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".