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Record W2943543512 · doi:10.1201/9780203742075-9

Modified Atmosphere Packaging of Bakery and Pasta Products

2018· book-chapter· en· W2943543512 on OpenAlexaboutno aff
J. P. Smtth, Benjamin K. Simpson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsnot available
Fundersnot available
KeywordsModified atmosphereAtmosphere (unit)Food scienceEnvironmental scienceChemistryGeographyMeteorologyShelf life

Abstract

fetched live from OpenAlex

Bakery and pasta products are an important part of a balanced diet and account for 20% of the daily dietary protein of the average Canadian consumer. In 1987, the Canadian bakery industry sold $1.33 billion worth of products, or approximately 4% of total food sales, with bread accounting for approximately 50% of the total value of bakery products sold. Moisture loss or pick-up is a serious problem in many bakery products irrespective of moisture level. Both moisture loss and moisture pick-up can be prevented by packaging products with proper sealing in moisture impermeable packaging material such as low density polyethylene. The most important microbial problem limiting the shelf life of high and intermediate bakery products is mold growth. Bacterial spoilage is the major problem limiting the shelf life of fresh and pre-cooked pasta products.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.869
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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.

Opus teacher head0.045
GPT teacher head0.214
Teacher spread0.169 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations14
Published2018
Admission routes1
Has abstractyes

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