Microbiota of regular sodium and sodium-reduced ready-to-eat meat products obtained from the retail market
Bibliographic record
Abstract
The aim of this study was to assess the influence of sodium content on the microbiota on the surface of ready-to-eat (RTE) meat products purchased from the retail market in Canada. Products, including sliced and sausage-type deli meats, were analysed with culture-dependent and culture-independent methods. Bacteria were identified from 23 brands of products from different meat processors with claims of sodium content ranging from 390 to 1200 mg per 100 g of product. Out of 150 bacterial isolates, the most common were identified as Leuconostoc gelidum, Carnobacterium maltaromaticum, Brochothrix thermosphacta, and Leuconostoc gasicomitatum. Vacuum-packaged RTE deli sliced meat products had the largest population of bacteria. Leuconostocci were the most common isolates in this group of products, while carnobacteria were prevalent on products with moderate loads of bacteria. A higher incidence of carnobacteria and lower incidence of B. thermosphacta were detected on sodium-reduced products. Simpson's and Shannon-Wiener indices showed that low sodium products (25%-50% less sodium) had an overall higher bacterial diversity. This was also observed when individual low sodium products were compared with their regular sodium counterpart.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".