Implementation of a validated HACCP system for the control of microbiological contamination of pig carcasses at a small abattoir.
Bibliographic record
Abstract
To guide the implementation of a Hazard Analysis Critical Control Point (HACCP) system at a small abattoir, the microbiological conditions of pig carcasses at various stages of processing were assessed by enumerating total aerobes, coliforms, and Escherichia coli in samples collected from randomly selected sites on the carcasses. Those data indicated that carcasses were contaminated with bacteria mainly during dehairing and operations on the head. When carcasses were pasteurized after head removal, the numbers of total aerobes on dressed carcasses were reduced by about 1 order and the numbers of coliforms and E. coli were reduced by more than 2 orders of magnitude. Implementation of an HACCP system on the basis of the microbiological data gave cooled carcasses with mean numbers of total aerobes < 100/cm2, and mean numbers of coliforms and E. coli about 1/1000 cm2.
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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 | 0.001 | 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 | 0.000 |
| 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".