Evaluation of the Hygienic and Microbiological Quality of Dried and Smoked Fish Sold in the Various Markets of the City of Abeche (Chad)
Bibliographic record
Abstract
Fish is a vital source of animal protein and micronutrients for many communities (rural and urban). It could be the cause of serious Toxi-infection with health consequences if handled in unsanitary conditions. The goal of this study aims to assess the hygienic and microbiological quality of dried fish and smoked fish sold in the various markets in the town of Abéché. A total of 30 samples of dried and smoked fish were collected from the vendors surveyed. Germs sought were counted in the laboratory according to the standard method of microbiology. There most of the respondents are female with 96.67%; 93.33% of them are married. The average age of respondents is between 26 and 35 and more than half (56.57%) are uneducated. The average load of dried fish in the three markets is 4.60 X 107 CFU/g for FAMT; 7.33 X 105 CFU/g for CT; 2.87 X 104 CFU/g for CTT; 1 CFU/g for Staphylococcus aureus. On the other hand, for smoked fish, the average varies between 6.81 X 107 CFU/g for FAMT; 2.28 X 106 CFU/g for CT; 1.56 X 105 CFU/g for CTT and 1 CFU/g for yeasts and molds. Enumeration of staphylococci in the three (3) samples gave high values in the range of 14 to 90 CFU/g. Additionally, the level of contamination by total mesophilic aerobic flora is 74.67% for dried fish and 36.33% for smoked fish. Therefore, it is necessary to follow up when fish processing to reduce the level of contamination by flora microbial.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".