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Record W2978114830 · doi:10.47339/ephj.2019.46

Is that food RTE?

2019· article· en· W2978114830 on OpenAlexvenueaboutno aff
Ella Derby, Environmental Health BCIT School of Health Sciences, Dale Chen, Lorraine McIntyre

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsCooking methodsFood productsProduct (mathematics)Agricultural scienceBlameFood scienceFood preparationBusinessFood safetyMathematicsEnvironmental scienceMedicineChemistry

Abstract

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 Background: Rates of foodborne illness linked to consumers misinterpreting, or lack of proper cooking instructions on frozen food products continue to rise. With many recalls and outbreaks in the recent years surrounding frozen breaded chicken (FBC) products due to consumers not adequately cooking products and in turn becoming ill. However, it is not just frozen breaded chicken to blame, frozen microwavable entrees have also contributed to this problem. Therefore, the purpose of this project was to determine what was actually being displayed on the packaging of these frozen foods. Identifying whether or not frozen food products have clear, specific and consistent cooking instructions for the consumers is critical in identifying the risk of cooking and eating these foods. Methods: Secondary data was obtained from the British Columbia Centers for Disease Control (BCCDC) of cooking instructions on FBC packaging, and primary data was collected through visiting grocery stores in the Metro Vancouver area by surveying cooking instructions on frozen microwavable entrees packaging. Four categories of data were assessed, 2008 and 2018 raw FBC products, 2018 cooked FBC, and 2019 frozen microwavable entrees. Parameters such as inclusion of internal cooking temperature, thermometer usage, microwave instructions, and additional food safety handling was gathered. Chi-square tests were used to analyze the results with the statistical software NCSS12. Results: Of all categories surveyed 87.1% (n=122) said to cook the product to a minimum of 74°C, and 12.9% (n=18) did not state anything. 2018 raw FBC always stated an internal cooking temperature (100%), whereas 58% of the 2008 raw FBC stated an internal temperature and 89% of both the 2019 frozen entrees and 2018 cooked FBC did. Out of all 140 products surveyed across categories only 8% stated to use a thermometer when cooking to ensure food has reached proper internal temperature. The frequency of categories to display food safety was as follows, the 2018 raw FBC (82%) and the 2008 raw FBC (79%), followed by the 2019 frozen entrees (42%) and the 2018 cooked FBC (21%). For the microwave instructions the frozen entrees almost always stated this (81%), whereas the 2008 and 2018 raw FBC both never stated to use a microwave (0%). There was a significant association between products and the inclusion of the statement of internal cooking temperature and thermometer usage. This was based on the food product category itself, frozen breaded chicken or frozen entrees, or based on manufacturer of the product. Conclusions: It was evident that the major gap lies in the consistency of instructions. Almost every manufacturer had their cooking instructions presented differently, which could in turn confuse the consumer. Instructions also rarely stated to use a thermometer to check the internal temperature, although almost always stated a specific temperature to cook to. A small portion of manufactures are diligent about displaying all necessary information to the consumer such as, Kraft, Conagra foods, and Olymel which adequately met all parameters assessed. In order to fix the gaps of inconsistency of instructions this information can be used as educational tools by the BCCDC to inform customers on what to look for in cooking instructions of frozen

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.061
GPT teacher head0.229
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes2
Has abstractyes

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