Effects of meat p<scp>H</scp> and the initial numbers of spores of <i><scp>C</scp>lostridium estertheticum</i> on the development of blown pack spoilage of vacuum‐packaged beef
Bibliographic record
Abstract
Summary To understand how the initial numbers of Clostridium estertheticum spores on, and the concentration of glucose in meat affect the development of blown pack spoilage, beef of pH ≤5.6 and of pH ≥5.8 was inoculated with the spores at various numbers, vacuum‐packaged and stored at 2 °C. For beef of pH ≤5.6, the volumes of packs inoculated with ≤10 spores did not change; and packs inoculated with ≥30 spores started swelling after 35 days, and the rate of volume increase increased with increasing number of inoculated spores. For beef of pH ≥5.8, packs inoculated 0, three or ten spores slackened, and packs inoculated with ≥30 spores became swollen at the end of storage, but to a much lesser degree than the corresponding packs of beef of pH ≤5.6. Glucose was reduced by 21 mm and depleted in the rinse fluids from swollen packs of beef of pH ≤5.6 and of pH ≥5.8, respectively.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".