Frozen foods and recommended packaging temperatures
Bibliographic record
Abstract

 Background: Frozen foods have cooking instructions on their packaging, but due to foodborne illnesses resulting from consuming them, it brings the effectiveness of these instructions into question. The recommended cooking temperature on the packaging is a specific numerical value that is not open to interpretation and can be used to measure effectiveness. Methods: Temperatures were taken from 208 different meat products from different stores. The information recorded include: the store the products were found at, the type of meat, whether the product was uncooked or cooked, and if it had safe handling instructions. The data was compared to 3 different guidelines to see if they met the recommendations or not. The results of the comparison were then analyzed using Chi-squared tests. Results: A majority of T&T products failed in all 3 standards, the majority of products from Superstore passed using all 3 standards, and the majority of products from Costco failed using 2 standards. Conclusion: The amount of products that met recommendations is dependent on the store, the type of meat, the uncooked or cooked status, and the guidelines being used due to the recommended temperature of poultry being vastly different in one of the guidelines. The other products that did not meet recommendations were due to them being cooked products without a recommended reheating.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".