MétaCan
Menu
Back to cohort
Record W2905505810 · doi:10.21769/bioprotoc.3115

Production, Titration and Imaging of Zika Virus in Mammalian Cells

2018· article· en· W2905505810 on OpenAlexafffund
Wesley Freppel, Clément Mazeaud, Laurent Chatel‐Chaix

Bibliographic record

VenueBIO-PROTOCOL · 2018
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversity of Alberta
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaInstitut national de la recherche scientifiqueFonds de recherche du Québec – Nature et technologiesUniversity of AlbertaArmand-Frappier FoundationCanadian Institutes of Health ResearchAix-Marseille Université
KeywordsZika virusMicrocephalyFlavivirusVirologyOutbreakBiologyVirusPathogenArbovirusImmunologyGenetics

Abstract

fetched live from OpenAlex

Since the outbreak of Zika virus (ZIKV) in Latin America and the US in 2016, this flavivirus has emerged as a major threat for public health. Indeed, it is now clear that ZIKV is vertically transmitted from the infected mother to the fetus and this may lead to severe neurological development defects including (but not restricted to) neonate microcephaly. Although ZIKV has been identified in the late 1940s, very little was known about its epidemiology, symptoms and molecular biology before its reemergence 60 years later. Recently, tremendous efforts have been made to develop molecular clones and tools as well as cell culture and animal models to better understand ZIKV fundamental biology and pathogenesis and to develop so-far-unavailable antiviral drugs and vaccines. This bio-protocol describes basic experimental procedures to produce ZIKV stocks and to quantify their concentration in infectious virus particles as well as to image and study this pathogen within infected cells using confocal microscopy-based imaging.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.306
Teacher spread0.294 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

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".

Quick stats

Citations18
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueBIO-PROTOCOLSame topicMosquito-borne diseases and controlFrench-language works237,207