New Japanese encephalitis vaccines: alternatives to production in mouse brain
Bibliographic record
Abstract
Japanese encephalitis virus (JEV), a flavivirus maintained in a zoonotic cycle and transmitted by the mosquito Culex tritaeniorhynchus, causes epidemics of encephalitis throughout much of Asia. Resident populations, including short- or long-term visitors to enzootic regions, are at risk of infection and disease. For the past several decades, killed viral vaccines prepared in tissue culture or mouse brain have been used effectively to immunize travelers and residents of enzootic countries. Cost, efficacy and safety concerns led to the development of a live-attenuated virus vaccine (SA14-14-2) and more recently, to the licensure in the USA, Europe, Canada, and Australia of a purified inactivated, tissue culture-based Japanese encephalitis vaccine (IXIARO(®), referred to as IC51; Intercell AG, Vienna, Austria). In addition, a live-attenuated yellow fever-Japanese encephalitis chimeric vaccine (IMOJEV™, referred to as Japanese encephalitis-CV; Sanofi Pasteur, Lyon, France) was recently licensed in Australia and is under review in Thailand. A broad portfolio of safe and effective Japanese encephalitis vaccines has become available to meet the needs of at-risk populations; when appropriately delivered, these new vaccines should greatly diminish the burden of disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".