Non-thermal Technology and Heating Technology for Fresh Food Cooking in the Central Kitchen Processing: A Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The central kitchen model has promoted the industrialization of the catering industry. The quality of central kitchen products is related to processing technology. The new non-thermal technology and heating technology not only have advantages over traditional technologies in improving product quality and safety, but also have more precise control over the processing process and a higher degree of automation. Using non-thermal technology conditioning before cooking can change the properties of food ingredients, and improve the quality and safety of cooked food. The new heating technology replaces the traditional heating method to provide thermal energy for food cooking, and has the advantages of shortening cooking time, improving quality attributes, improving processing efficiency and product safety. This article reviews the application and research progress of non-heating and heating technologies in fresh food processing in the central kitchen.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it