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
The vascular supply to tumours is often poorly formed and irregular with the result that tumours may contain regions of poor nutritional supply with hypoxia and acidic pH. Clinical studies have demonstrated substantial heterogeneity in oxygenation in human tumours. In some studies tumours with poorer oxygenation were more likely to have metastasized. In our studies of carcinoma of the cervix, nodal metastases were 1.5 times more likely at diagnosis in patients with more hypoxic tumours relative to those with less hypoxic tumours. Transplanted rodent KHT fibrosarcomas and SCC-VII squamous cell tumours also have variability in levels of oxygenation; again, the more hypoxic tumours are found to be more metastatic. Furthermore, deliberate exposure of KHT tumours to cyclic hypoxia (12 cycles of 5% oxygen breathing for 10 min interspersed with 10 min air breathing) every day during their growth, doubled the level of micrometastases that were detected in the lungs of the mice. These findings are consistent with in vitro studies demonstrating that KHT and SCC-VII cells and B-16 melanoma cells exposed to hypoxia or low pH have increased propensity to form metastases following injection into-mice. This effect is transient and is lost within about 48 h of removal of exposure to hypoxia or low pH, suggesting that the effect may be due to changes in gene expression associated with that stress. Recent studies have implicated a number of genes, such as vascular endothelial growth factor and interleukin 8, in the effect of hypoxic and acid pH on metastasis.
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