PREVALENCE AND RELATEDNESS OF SALMONELLA SPP. IN A CANADIAN ABATTOIR
Bibliographic record
Abstract
The prevalence of Salmonella contamination was assessed at five points in a Canadian pork slaughter plant. In the cooler only 0.5% (2/429) carcasses were positive, even though Salmonella were detected in 51.3% of all cecal samples and in the cecum of at least one pig in 91.5% (43/47) lots tested. Hogs held overnight in lairage were significantly more likely to have posi- tive cecal samples. Salmonella was isolated at least once from the truck, holding pen or cecum of hogs from all 31 producers. Four serotypes comprised 70.3% of 299 isolates: Bovismorbificans, Derby, Brandenburg and Agona. PFGE showed several Salmonella strains were identical between fecal samples and carcass swabs. Many strains were different, suggesting resident bacteria or cross contamination during processing may be important in this plant. Processing interventions appear to be successfully minimizing carcass contamination in this plant. Introduction Salmonella is considered the most important food-borne pathogen from pork. Markets are requiring evidence of Salmonella control both during the production of hogs as well as pork processing. The epidemiology of Salmonella contamination is complex and not well under- stood. Determining the baseline prevalence of Salmonella at several steps in the pork production chain is a first step in developing a control program. Rates of Salmonella contamination on pork carcasses have been shown to vary widely between individual plants in Canada (Quessy et al., 2004). Differences in infection status of incoming hogs and different procedures in each plant play a role in carcass contamination rates. It has been reported that essentially all Salmonella spp. on pork carcasses leaving the kill floor in a slaughter plant arrive in or on the pig (Berends et al., 1997). Hogs from some farms may be
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".