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
Cancer is a complex disease that often eludes successful treatment due to its propensity to evolve or adapt in the face of current therapeutic regimes. It is reasonable to suggest that sophisticated therapeutics that can attack cancers in multiple, but targeted ways, will be necessary in order to improve current success rates. It is the thesis of this article that Oncolytic Viruses (OVs), are a new generation of "smart therapeutics" for cancer with tremendous potential to revolutionize the management of what has become one of mankind's scourges. A number of viruses are being developed around the world for this purpose (one has already been approved for human use in China [1]) and I propose that it is now essential to embrace the technology and use our recent and evolving understanding of the molecular biology of cancer to fully exploit the oncolytic virus platform. In the remainder of this article I speculate on some of the next important steps in OV development and directions the platform may be headed in the future.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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