Microbiological quality and handling practices of ice served in selected downtown Toronto food premises
Bibliographic record
Abstract
Consumable ice presents a potential hazard due to microbiological contamination. To investigate the microbiological quality and handling practices of ice served in selected food premises in downtown Toronto, Ontario, 64 ice samples were collected from 40 food establishments. The ice samples were tested for the presence/absence of total coliforms and Escherichia coli. Five samples (7.8%) tested positive for total coliforms, all of which were sampled from the customer service areas. None of the ice samples tested positive for E. coli. A visual inspection was carried out to determine general ice handling practices in the food premises sampled. Of the 40 premises sampled, 14 (35%) had dirty ice holding/storage equipment, 13 (32.5%) had inappropriately stored scoops, and 6 (15%) had visible biofilm on the ice machines. In 15 (37.5%) premises, the ice was uncovered when not in use and 4 (10%) premises had food safety violations relating to the inability to protect food from contamination. The presence of total coliforms and the lack of proper ice handling practices among several food premises suggest that consumable ice served in downtown Toronto food premises may present a potential hazard.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".