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Record W4364352229 · doi:10.1002/cpz1.716

Mammalian Reoviruses: Propagation, Quantification, and Storage

2023· article· en· W4364352229 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsUniversity of ManitobaResearch Manitoba
FundersCanadian Institutes of Health Research
KeywordsReoviridaeVirologyBiologyCell cultureStainingVirusVirus quantificationGeneticsRotavirus

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.149
GPT teacher head0.444
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it