Inactivation of Mycobacterium avium subsp. paratuberculosis in milk during commercial pasteurisation
Bibliographic record
Abstract
Four studies have been published relating to the inactivation of Mycobacterium avium subsp. paratuberculosis (Map) by commercial HTST pasteurization. Three of these were large surveys of commercially pasteurized milk at processing/retail level in the UK and Ontario, Canada, and the fourth a pasteurization study involving naturally infected milk and commercial-scale pasteurizing plant. Evidence that Map is capable of surviving commercial pasteurization was obtained in two of the studies: viable Map was cultured from 50 ml aliquots of commercially pasteurized milk after decontamination with 0.75% cetylpyridinium chloride for 5 h and then culture on Herrold's egg-yolk medium without antibiotics. In both studies culture did not commence until 24-72 h post-pasteurization and samples were stored at 4 degrees C in the interim period. In the other two milk surveys smaller volumes of milk were tested (1-5 ml and 15 ml) and no firm evidence of surviving Map was obtained. The three milk surveys differed in other respects - chemical decontamination, culture media used and use of antibiotics. Recent findings suggest that sub-lethally heat-injured Map in pasteurized milk have the potential to recover viability if stored at 4 degrees C for 48 h between heating and testing.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".