Introduction to Epigenetic Toxicology of Chemical Substances
Bibliographic record
Abstract
Epigenetics (EG) is a highly regulated biochemical mechanism underlying the expression of genes related to development and cellular diŠerentiation that is disrupted by environmental stressors including chemicals and radiation.Studies of these phenomena are known as environmental epigenetics (EEG).Regulation of gene expression by the epigenetic mechanism is deeply involved in the developmental stages of animals and humans.EEG is, therefore, very important in the ˆeld of toxicology because it deals with the state of gene expression in all types of somatic and germ cells disrupted by environmental chemicals.We propose here an ``Embryo-originated Epigenetic Toxicology Method (EEGT)''.In this method embryonic somatic and germ cells are treated with test substances and various toxicological phenomena in whole bodies are examined.Observations on transgenerational eŠects are also important in this method.This new method could unite various toxicological phenomena based on EEG.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".