Bibliographic record
Abstract
Mammalian reoviruses are pathogens that cause gastrointestinal and respiratory infections. In humans, the mammalian reoviruses usually cause mild or subclinical disease, and they are ubiquitous, with most people mounting immunity at a young age. Reoviruses are prototypic representations of the Reoviridae family, which contains many highly pathogenic viruses. This article describes techniques for culturing mouse fibroblast L929 cell lines, the preferred cell line in which most mammalian reovirus studies take place. In addition, mammalian reovirus propagation, quantification, purification, and storage are described. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Propagation of mammalian reoviruses in cell culture from virus stocks Alternate Protocol 1: Large-scale propagation (and purification) of mammalian reoviruses in cell culture from virus stocks Basic Protocol 2: Quantification of mammalian reoviruses by plaque assay with neutral red staining Alternate Protocol 2: Quantification of mammalian reoviruses by plaque assay with crystal violet staining Basic Protocol 3: Storage of mammalian reoviruses Support Protocol 1: Growth and maintenance of mouse L929 cells Support Protocol 2: Plating L929 cells.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.021 |
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".