Simulation of the industrial-scale heating treatment of Canadian-style smoked pork loin
Bibliographic record
Abstract
The aim of this study was to validate and simulate the thermal processing of Canadian-style Smoked Pork Loin on an industrial scale. The cooking oven temperature was evaluated at the corners and central points, obtaining the cold spot. At this point, product temperatures were collected for lethality calculation, observing the following reductions: 14,215 cycles for Salmonella spp., 641 for L. monocytogenes, and 71 for E. faecalis. With the simulation of heat transfer by conduction using Fourier's law, it was verified that only 120 min of cooking was necessary to reach the internal temperature of 72 ºC in the product, which would result in a reduction of 165 min in the process (a complete cycle is currently 285 min). There was no significant difference between the cooked treatments for 120 and 240 min compared to the control by the sensorial analysis. The thermal treatment carried out industrially is suitable and may be reproduced safely.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".