Oncolytic Viruses: Programmable Tumour Hunters
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
Despite significant improvements in early detection and refinements of therapeutic protocols over the last several decades, cancer remains one of the leading causes of death in North America. In particular, treatment of metastatic cancers is a highly desirable and yet still elusive goal of the oncologist. One strategy which holds promise is the use of self replicating viral strains with the ability to specifically kill tumour but not normal cells. These so-called "oncolytic viruses" are in general, attenuated for growth in normal cells but are able to exploit tumour specific, genetic defects to gain a growth advantage. In this review, we will discuss the virus:host cell interactions which help form the niche occupied by oncolytic viruses. The current and potential clinical applications/limitations will be discussed for oncolytic viruses from the herpesvirus, adenoviruses, picornavirus, rhabdovirus, and paramyxovirus families.
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) | 0.001 | 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 | 0.001 |
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