Results of bacterial analysis of foodstuffs and swabs from working surfaces in food manufacturing and marketing facilities in Bosnian-Podrinje Canton Goražde
Bibliographic record
Abstract
Introduction. According to the Consumer and Food Safety Act, the term foodstuffs is referred to as any substance used for food or drink, either processed or unprocessed. Food safety is referred to as hygiene food safety as well as the safety of food composition (energy giving, body building and protective food components). The aim of the study is to examine the bacteriological quality of samples of foodstuffs and swabs from working surfaces in food manufacturing and marketing facilities in Bosnian-Podrinje Canton (BPC) from 2011 to 2015, as well as to determine whether the increase in the frequency of supervision leads to the decrease in the number of defective samples. Methods.The study encompassed three municipalities of BPC: Goražde, Prača and Ustikolina. Microbiological quality of samples was tested in the accredited microbiology laboratory of the Public Health Institute of the Sarajevo Canton, and partly in the laboratories of the Public Health Institute of BPC. For a retrospective view of the obtained data, Central laboratory protocols from the last five years were used. Results. The greatest number of samples was collected in catering establishments in Goražde Municipality. The number of analyzed samples increased during five-year period: from 51 food and 69 swab samples in 2011 to 150 food and 270 surface swab samples in 2015. The number of inadequate samples decreased simultaneously from 7.27% to 3.33%. In the majority of samples, aerobic mesophilic bacteria (37) and saprophytic cocci (25) were isolated, while Streptoccocus faecalis and sulphitoreducing Clostridiae were found only in one sample. The number of samples in which bacteria were isolated decreased in five-year period: from 38 samples in 2011 to 15 samples in 2015. Conclusion. It has been shown that the more frequent control of the food manufacturing and marketing facilities leads to better results, that is to the reduction in the number of bacteriological defective samples. Food safety is not alarming in BPC.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".