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
Alteration in epigenetic regulation of gene expression is a frequent event in human cancer. CpG island hypermethylation and downregulation is observed for many genes involved in a diverse range of functions and pathways that become deregulated in cancer. Paradoxically, global hypomethylation is a hallmark of almost all human cancers. Methylation profiles can be used as molecular markers to distinguish subtypes of cancers and potentially as predictors of disease outcome and treatment response. The role of epigenetics in diagnosis and treatment is likely to increase as mechanisms leading to the transcriptional silencing of genes involved in human cancers are revealed. Drugs that inhibit methylation are used both as a research tool to assess reactivation of genes silenced in cancer by hypermethylation and in the treatment of some hematological malignancies. Multidimensional analysis, evaluating genetic and epigenetic alterations on a global and locus-specific scale in human cancer, is imperative to understand mechanisms driving changes in gene dosage, and as a means towards identifying pathways driving cancer initiation and progression.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it