Assessment of the risk factors related to bovine spongiform encephalopathy
Bibliographic record
Abstract
The Office International des Epizooties (OIE: World organisation for animal health) recommends that all OIE Member Countries determine the status of bovine spongiform encephalopathy (BSE) in their cattle populations by conducting a risk assessment and meeting certain BSE surveillance criteria. The OIE has identified and listed the factors and criteria for this in the International Animal Health Code. The factors to be assessed include the consumption of meat-and-bone meal (MBM) by cattle, the importation of cattle and MBM which are potentially infected or contaminated with the BSE agent, the livestock population structure, the rendering processes and the animal feeding practices. In this paper, the authors present an overview of these risk factors and criteria, detailing the relevant components of each. In the second part of this paper, the authors provide a risk assessment to demonstrate the application of the OIE BSE guidelines. This is a probabilistic risk assessment of the factors related to BSE for Canada which conforms to the OIE approach to import risk analysis. The steps include the hazard identification, release, exposure and consequence assessments and the risk estimation. A scenario tree for the release and exposure assessments was used to model the events emanating from the initiating failure event of importing cattle potentially infected with BSE. The consequence assessment describes the costs and losses associated with the introduction and establishment of BSE in other countries. The risk estimate, integrating the release, exposure and consequence assessments, indicates a negligible probability that BSE was introduced and established in Canada; nevertheless, the economic consequences would have been extreme.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".