Assessment of the Risk of Microbial Contamination of an Urban Crop in the City of Daloa (Côte d'Ivoire): Case of Lettuce (Lactuca sativa L.)
Bibliographic record
Abstract
The growing population of the city of Daloa, together with its growing urbanization, has a diversified need for food resources. Urban and periurban production of lettuce is a food resource for its people. This study was designed to assess the risk of microbial contamination. For the conduct of the study, first a survey was carried out on different sites of urban production to know the technical process of production. Then, mature lettuce, ready for sale and then consumed from a site, was subjected to microbiological characterization according to the standards in force. Microbiological analyzes revealed a high contamination. For mesophilic aerobic germs, the charges in CFU/g ranged between 1.7x107 and 6.7x107. The loads in CFU/g for yeasts and molds ranged from 3.4x105 to 9.3x105. As for fecal coliforms and enterobacteria, their loads ranged between 1.2x105 to 2.8x105 CFU/g for the first and 7.2x105 to 106 CFU/g for the second. These samples were contaminated with both Escherichia coli, Staphylococcus aureus c + and Salmonella sp. The loads in E. coli and S. aureus c+ ranged between 9.4x104 and 1.8x105 for the first and 4x103 to 1.1x104 CFU/g for the second. Salmonella sp. was found with loads ranging from 6.1x104 to 8.2x104 CFU/g. Empirical production process would increase the risk of microbial contamination. It is necessary to produce healthy lettuce for Daloa’s consumers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".