Relative Risk of Peanut Allergy across the Globe; Where Toxicology Meets Immunology
Bibliographic record
Abstract
In December 2015, the World Health Organization (WHO) published the first ever report on the estimates of the global burden of foodborne diseases, which included diseases related to chemical exposures in foods such as peanut allergy. In the report, the burden of disease related to peanut allergies was measured for the European, American and West Pacific Regions. The report showed that unlike other food-related chemical exposures, peanut allergies are far more common in the European and American Regions than in the West Pacific Region. In this commentary we tried to inform physicians and public health workers, and to raise awareness about peanut allergies to facilitate future discussions. Although the WHO report on the estimates of the global burden of foodborne diseases indicates a possible geographical difference in global peanut allergy prevalence, further studies need to compare the relative risk of peanut allergies among individuals of different racial backgrounds in one defined population.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".