The Effects of Localized Heat on the Hallmarks of Cancer
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
Abstract Heat has been used to treat tumors for thousands of years. There are reports of the Egyptians and Greek philosophers using such treatments as far back as 3000 BC and 500 BC respectively for various solid tumors. Albeit, in these cases, the treatment was not very controlled and consisted of hot sticks or blades placed against tissue in order to thermally ablate the tumor. It was not until recent times that the application of heat through various mediums enabled a more controlled, localized, and consistent method of treating tumors. While the therapeutic potential of this treatment has become more apparent, the mechanisms related to its efficacy are only recently beginning to surface. This review discusses the evidence associated with the effects of localized heat on the hallmarks of cancer. Key literature describing modulations to vasculature, cell viability, DNA damage and repair, metabolism, immune system, and tumor metastasis in response to heat will be reviewed along with considerations for its optimal implementation in the clinic to enhance the efficacy of conventional treatments.
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) | 0.000 | 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