Bibliographic record
Abstract
Abstract Reoviruses are infectious agents, transmitted by respiratory and faecal – oral routes. The mammalian reoviruses (MRV) are the prototypic viruses of a large group of infectious agents, many of which are highly pathogenic to their natural hosts, although the MRV are not significant human pathogens. The MRV are distinguished by having a genome of 10 segments of double‐stranded ribonucleic acid (dsRNA) that is located inside a double‐layered, spherical nonenveloped protein capsid. The capsid is incompletely uncoated during viral replication and the inner capsid (core) serves as an enzymatic ‘machine’ producing progeny mRNA. The virus is being studied as a potential anticancer oncolytic therapy. The virus is also quite stable and therefore is useful as a ‘bio‐indicator’ for assessing water quality and wastewater disinfection. Key Concepts: The reoviruses have served as models for understanding biology of double‐stranded RNA and RNA transcription signals. Mammalian reoviruses are ubiquitous in nature and virtually all mammalian species are infected by these agents. Reoviruses have a segmented genome and different genome segments from different virus types can mix to create hybrid progeny viruses called ‘reassortants’. Although most family members are highly pathogenic in their natural hosts, mammalian reoviruses are generally harmless to humans. Because the viruses are generally harmless, and because they are unusually stable, they serve beneficially as anticancer agents and for monitoring water and wastewater disinfection.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.067 | 0.053 |
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 source (direct Gemma or distilled Codex), 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".