Production, Titration and Imaging of Zika Virus in Mammalian Cells
Bibliographic record
Abstract
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.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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".