Microbiological and Freshness Analysis of Fish Fillets Sold in Popular Area
Bibliographic record
Abstract
Fish is considered a nutritious food and widely consumed internationally, being a basic element of the human diet. This food is very susceptible to contamination and spoilage, mainly by microorganisms, affecting its freshness, reducing its shelf life and posing a high risk to the health of consumers, as it is related to outbreaks of foodborne illnesses around the world. Therefore, the present study focuses on the analysis of the degree of quality or freshness of fish, specifically rainbow trout fillet (Oncorhynchus mykiss) available for human consumption in fishmongers in the popular and tourist area of La Marquesa Park in the State of Mexico in the Mexican Republic. For this purpose, samples of fillets were collected over 4 weeks from 2 available fishmongers, where the degree of quality or freshness and microbiological profile were subsequently analysed. The results obtained indicated that all samples had a quality grade ranging between the first and second category in freshness and presented biological hazards when the presence of coliforms and Salmonella was detected in samples, making them unsuitable for marketing and human consumption according to health regulations, since the safety of the product is compromised and they are a risk to the health of the population.
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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".