Japanese encephalitis vaccine for travelers: risk-benefit reconsidered
Bibliographic record
Abstract
A number of years ago, an article on the risk of Japanese encephalitis (JE) in travelers by Shlim and Solomon quoted a popular movie at the time, ‘Chicken Run’, describing in a jocular fashion the one in a million chance of the imprisoned chickens mounting a successful escape. Rather than be deterred by this low probability, one of the protagonist chickens instead exhibited hope saying, ‘Then there is still a chance!’.1 While past estimates suggest that the risk for a traveler to Asia of contracting JE was one in a million,2 today there remains a risk of exposure to the JE virus and symptomatic disease, and the incidence of JE may be on the rise throughout Asia. Consequently, it is imperative that travel medicine practitioners provide risk prevention and awareness advice to those travelers at greatest risk. What we have learned about JE since the publication of this article should change the minds of the travel medicine community, and should also serve as a lesson to the traveling public.
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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 | 0.036 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.017 | 0.025 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".