Additional file 9 of Molecular landscape of IDH-mutant astrocytoma and oligodendroglioma grade 2 indicate tumor purity as an underlying genomic factor
Bibliographic record
Abstract
Additional file 9: Table S1. Data sources summary. Table S2. Copy number alternations of key glioma-related genes in the TCGA dataset. Table S3. Relative abundance of DNA damage repair signatures in the TCGA dataset. Table S4. Relative abundance of DNA damage repair related pathways in the TCGA dataset. Table S5. Comprehensive subcategories of intended IDH-mt astrocytoma and oligodendroglioma grade 2. Table S6. Differently expressed DNA methylation, microRNA and PRRP between IDH-mt astrocytoma and oligodendroglioma grade 2 in the TCGA dataset. Table S7. Wilcoxon test results on immune cells between astrocytoma and oligodendroglioma. Table S8. Wilcoxon test results on immune signatures between astrocytoma and oligodendroglioma. Table S9. The three machine learning models in identifying astrocytoma from oligodendroglioma. Table S10. Multivariable cox regression results for A–O Panel Classifier.
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 | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.487 | 0.098 |
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".