Effects of chiller on listeria monocytogenes contamination of poultrycarcasses in industrial slaughterhouses of Western-Azarbaijan province
Bibliographic record
Abstract
Listeria spp. Has been isolated from poultry , red meat products and fish in many countries around the world. Listeria monocytogenes has been isolated from water and ice used for relating freshness of food. Chiller water could possibly increase the microbial contamination of poultry carcasses in slaughter-house. Therefore, the aim of this study was to investigate the effects of water chiller on Listeria monocytogenes contamination of poultry carcasses before and after chilling process in four industrial slaughter house of western Azarbaijan province was investigated. 180 poultry carcasses from 4 industerial slaughter house in western azarbaijan was investigated for Listeria monocytogenes befor and after chilling process using the modified Canadian version. All of the isolated belongs to the serogroup 1 and 4. Paired – samples T test indicated significant difference (P
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".