Risk Assessment of Shell Eggs Internally Contaminated with Salmonella Enteritidis
Bibliographic record
Abstract
A risk assessment was performed to determine the health risks associated with the consumption of Canadian grade A eggs internally contaminated with Salmonella Enteritidis. The distribution of the prevalence of contaminated eggs yielded an average of 1.7 per million from regulated laying flocks. The poorest storage and handling conditions for eggs represent 0.6% of exposures but result in 46% of illnesses; eggs handled under ideal storage and handling conditions account for 96% of exposures and represent 49% of illnesses. These findings suggest that risk management options targeting contaminated egg prevalence and the number of illnesses from a contaminated egg would be appropriate. Simulated risk management strategies included i) vaccination of flocks moving into houses previously occupied by positive flocks, ii) test and divert flock management strategy with environmental testing for S. Enteritidis, iii) eliminating the use of pooled shell eggs in foodservice and institutional settings, and iv) eliminating S. Enteritidis growth by improving egg storage and handling conditions. Strategies aimed at flock management yielded simulated reductions in contaminated egg prevalence between 2 and 29% of baseline, with smaller simulated gains from strategies aimed at reducing the number of illnesses per contaminated egg.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".