Bibliographic record
Abstract
Cancer cells have undergone several distinct transformational events leading to alterations of the normal growth and proliferation regulatory pathways. The probabilities of these events are increased by agents that damage and mutate DNA. It is now well established that oxygen is one such mutagen. Within the cell, the metabolic conversion of oxygen to reactive forms, particularly the hydroxyl radical, is an initial step in this process. Hydroxyl radical-mediated oxidative damage to DNA results in a variety of mutagenic lesions. However, this is a normal occurrence in every cell, and a host of proteins is involved in surveillance of the genome and removal of the damage. The link between DNA oxidative damage and cancer is evident from animal models lacking these DNA repair and antioxidant proteins. Mice deficient in repair of DNA oxidative damage or reactive oxygen species (ROS) detoxification typically are susceptible to cancer. Mitochondria, as a major source of intracellular ROS, and organelles essential for the maintenance of metabolic homeostasis, can also play critical roles in the initiation and promotion of cancer. Important mechanistic details of mitochondrial participation in tumori-genesis have recently been uncovered.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.012 |
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".