<i>Clostridium perfringens</i> outbreak associated with roast beef supper fundraising event
Bibliographic record
Abstract
Epidemiological, environmental, and microbiological investigations were conducted to investigate the source of a gastrointestinal illness from a community take-out church supper related outbreak in Prince Edward Island in April 2012. There were 209 probable cases that met the case definition and 85 controls. Although the majority of cases and controls consumed the roast beef, the cases more likely picked up their meals later in the day than the controls. Clostridium perfringens was lab confirmed in 3 stool samples. Food samples contained elevated levels of C. perfringens in addition to other pathogens. Clostridium perfringens was the most likely etiology of the church fundraiser outbreak. The reheating temperature was not sufficient to destroy any toxin producing spores in the large volume of meat on the trays. This organism has been implicated as a common source of foodborne outbreaks, especially when large amounts of food are not properly prepared in advance. Volunteers require adequate training before preparing, cooking, or reheating potentially hazardous foods served at community organized events. Proper education, inspection, and licensing must be reinforced for these types of events, so that meals are not prepared in contraction with the Public Health Act.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".