Movements of poultry product off HPAI-infected premises: using science-based standards for achieving confidence in risk
Bibliographic record
Abstract
During highly pathogenic avian influenza (HPAI) outbreaks, the United States Department of Agriculture response requires infected egg production premises to discard on-site poultry products, including eggs that have been processed and stored prior to infection of the site. The disposal of these eggs contributes to global food insecurity through market disruptions, industry revenue loss, and federal indemnity paid. Further, rural farming communities are economically destabilized and farmer health and well-being challenged. To support continuity of business movement decisions during HPAI outbreaks, the Secure Poultry Supply team at the University of Minnesota along with an egg sector stakeholder workgroup has been examining the risk of moving to market processed, segregated, and stored eggs from an infected premises that were laid by uninfected flocks (i.e., a group of egg-laying hens kept in one house/barn during their entire lay cycle). Three important criteria for achieving both acceptable risk and confidence for movement were identified: identification and removal of potentially contaminated eggs from the cooler; protection of cooler eggs from recontamination; and science-assessed egg truck disinfection protocols for exiting an infected premises. The science behind biosecurity and biocontainment practices and risk determination for moving eggs off infected premises are discussed. Confidence in movements determined to be low risk may provide a means for farm and food-protein sustainability.
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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 | 0.044 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".