Investigating farm-level risk factors for Salmonella Dublin infection and on-farm transmission in British Columbian dairy farms
Bibliographic record
Abstract
<h2>Abstract</h2> A recent study found that 30% of all dairy farms in British Columbia, Canada were positive for <i>Salmonella</i> Dublin, which has prompted a need to determine how to properly manage and mitigate <i>S.</i> Dublin within the province. The overarching goal of this study is to use the components of a Danish <i>S.</i> Dublin risk scoring tool to perform a cross-sectional, exploratory study to evaluate whether the tool, or components therein, can differentiate between <i>S</i>. Dublin BTM positive vs. BTM negative British Columbia dairy farms. Seventy BC dairy producers completed the survey and were classified as positive or negative based off of bulk tank milk surveillance results. Overall, the components outlined in the modified Danish tool failed to differentiate herds that were positive or negative for <i>S</i>. Dublin on BTM, with only 2 risk factors being identified. Farms that reported housing more than one adult dairy cow in the maternity pen were 4 times more likely to be positive for <i>S</i>. Dublin on BTM than farms that only kept one adult in the maternity pen at a time. Future research should seek to determine if further modifications to the risk factor survey would be useful, especially the inclusion of questions on factors that target introduction of <i>S</i>. Dublin versus on-farm transmission of <i>S</i>. Dublin.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".