Analyse des risques de la démarche de certification ISO 22000/2018 au sein de la société SARL EL ALF-TLEMCEN-
Bibliographic record
Abstract
L'objectif principal de cette étude est d'analyser les risques au niveau de EL ALF TLEMCEN pour la production d'aliments pour animaux, ou il est divisé en deux étapes : Premièrement, les programmes requis ont été pré-diagnostiqués selon le Programme canadien d'amélioration de la diététique , pour une application adéquate du la démarche HACCP .les résultats ont montré un taux de conformité de 82,90 %. Dans la deuxième étape, les dangers ont été analysés tout au long de la chaîne de fabrication, et les points critiques de contrôle ont été extraits avec des actions correctives et préventives proposées, ce qui a contribué à réduire le niveau de risque a une niveau acceptable.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".