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EFFECT OF DIFFERENT METHODS FOR APPLICATION OF AN ANTIFOG SHRINK FILM TO MAINTAIN CAULIFLOWER QUALITY DURING STORAGE

2003· article· en· W2138255273 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Food Quality · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsAgriculture and Agri-Food CanadaMinistry of Agriculture, Food and Rural Affairs
Fundersnot available
KeywordsPostharvestBrowningVacuum packingHorticultureFood scienceChemistryCold storageMaterials scienceBiology

Abstract

fetched live from OpenAlex

Abstract The objective of this study was to evaluate the use of an antifog shrinkfilm, as an overwrap, sealed bag, vacuum–sealed bag, or vacuum– and heat–sealed bag, to maintain the postharvest quality of cauliflower during storage. The antifog shrink film improved quality retention and cauliflower packaged using any of the four methods exhibited less weight loss than controls (unwrapped) after 23 days in storage at 0–1C or 10C. The overwrap and sealed bag treatments resulted in higher appearance ratings and less curd browning and butt discoloration after storage at 0–1C. Shrinking the film with heat and/or vacuum may have damaged the tissue, providing a more favorable environment for microorganism growth, since more decay was found on these curds.

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.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.041
GPT teacher head0.384
Teacher spread0.343 · 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