Clostridium difficile in vegetables, Canada
Bibliographic record
Abstract
BACKGROUND: Clostridium difficile is an important gastrointestinal pathogen of humans and animals. It has been isolated from various foods, including meat and ready-to-eat salads, and concern has been expressed regarding food as a possible source of human C. difficile infection (CDI). AIMS: We sought to isolate C. difficile from a variety of vegetables obtained from local grocery stores and to characterize these isolates. MATERIALS AND METHODS: Vegetables were purchased from 11 different grocery stores in Guelph, Ontario, Canada between May and August 2009. Enrichment culture was performed and isolates were characterized by ribotyping, PFGE, toxinotyping and PCR detection of toxin genes. RESULTS: Clostridium difficile was isolated from 4.5% (5/111) of retail vegetables. Two different ribotypes and two different toxinotypes were identified. Three isolates were ribotype 078/NAP 7/toxinotype V, possessing all three toxin genes. The other two isolates shared a ribotype with a toxigenic strain previously found in humans with CDI in this region. DISCUSSION: Contamination of vegetables was found at relatively low levels, however, all isolates were toxigenic and belonging to ribotypes previously associated with CDI. CONCLUSIONS: Contamination of vegetables with CDI-associated isolates can occur and although the implications for food safety practices remain elusive, the presence of toxigenic isolates suggests vegetables could be a source of C. difficile in humans.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.004 |
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".