Bibliographic record
Abstract
Epigenetics refers to long-term modifications of gene activity that can be inherited, either somatically or transgenerationally, but that are independent of alterations in the primary base sequence of the organism's DNA. These changes can include chemical modifications of both the DNA bases and the proteins that associate with the DNA helices to form chromatin, the nucleic acid:protein complex of which the chromosomes are comprised. Epigenetic modifications can affect the accessibility of the DNA for transcription factors (the DNA-binding proteins that specify which genes are to be active or silent by modulating the recruitment of the transcriptional machinery that reads the information encoded in the sequence) and thereby regulate the expression of genes and alter the phenotype of the organism. Epigenetic marks can also be re-established following mitosis, allowing patterns of differential gene expression to be transmitted from one cell generation to the next, and can even be maintained through meiosis, allowing transgenerational transfer of regulatory cues. Unlike the information encoded in the DNA sequence, which is invariant between most cell types and over time, epigenetic information is tissue specific and can change in response to exogenous and endogenous perturbations. This responsive capacity enables a sensitive and reactive system that can optimize gene expression in relevant tissue in response to environmental change. The realization that organisms are capable of genetically 'reprograming' themselves as well as 'preprograming' future cells, and even future offspring to optimize gene expression for a given environment may have tremendous ramifications on our understanding of both acclimatization and adaptation to hypoxia.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".