Bibliographic record
Abstract
Reovirus is a double-stranded RNA-containing virus that possesses the distinctive ability to replicate in transformed cells while sparing normal cells, both in vitro and in vivo, in rodent models of cancer. The discovery of this property only arose through years of basic research on the biology of reovirus infection. Upon elucidation of the intracellular factors that govern cellular susceptibility, it became clear that reovirus Type 3 Dearing was capable of replicating in cells with an activated Ras signaling pathway, whereas normal, untransformed cells were unable to support reovirus infection (1). Because normal cells are resistant to reovirus, it is not surprising that reovirus infection in humans is usually subclinical (2, 3). Altogether, the potential impact of such findings is impressive when one considers that activating mutations in the ras genes alone contribute to more than 30% of all human cancers and that many other mutations in elements of the Ras pathway can also contribute to oncogenesis (4, 5). Recently, research using murine cancer models has revealed that this genetically unmodified laboratory strain of reovirus can indeed selectively destroy tumor cells, with no manifestations of animal morbidity or mortality (6). This has led the way to investigation into its therapeutic potential in human cancer.
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 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 | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".