The Microbiological Condition of Canadian Beef Steaks Offered for Retail Sale in Canada
Bibliographic record
Abstract
<p>Steaks of 4 types collected from 113 retails stores in 4 Canadian cities were frozen for storage. Swab samples collected from approximately 100 cm<sup>2</sup> of each of 598 thawed steaks were processed for enumeration of bacteria. The fraction of steaks from which total aerobic counts (AER), psychrotrophs (PSY), lactic acid bacteria (LAB), pseudomonads(PSE) and <em>Brochothrix thermosphacta</em> (BRO) were not recovered at <span style="text-decoration: underline;">&gt;</span> 2 log cfu/100 cm<sup>2 </sup>were 3, 12, 8, 25 and 51%, respectively. The fractions of steaks from which coliforms (COL) and <em>Escherichia coli</em> (ECO) were not recovered at <span style="text-decoration: underline;">&gt;</span> 0 log cfu/ 100 cm<sup>2 </sup>were 56 and 92%, respectively. The log number per 100 cm<sup>2</sup> recovered from <span style="text-decoration: underline;">&gt;</span> 90% of steaks were &lt; 6 for AER, PSY and LAB, &lt; 5 for PSE, &lt;4 for BRO, and &lt; 2 for COL. The microbiological conditions of groups of steaks of different types, from different cities or from different groups of stores were not substantially different.</p>
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.004 | 0.001 |
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".