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FORCED‐AIR COOLING AFTER AIR‐SHIPMENT DELAYS ASPARAGUS DETERIORATION

2003· article· en· W2053245442 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 institutionsUniversité Laval
Fundersnot available
KeywordsAsparagusForced-airEnvironmental scienceAir temperatureHorticultureMeteorologyBiologyEngineeringGeographyMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT Asparagus (cv. Locullus) was stored at 20C for 20 h to simulate time delays and temperature typically encountered during air‐shipment operations. After that period, asparagus were immediately forced‐air cooled at 1C, or room cooled at 1C or 10C, or stored at 20C to simulate different facility conditions usually available at the airports. The objective of this work was to determine which cooling method should be applied to limit the degradation of asparagus after a temperature abuse during ground and in‐flight operations. Forced‐air cooled asparagus gained in average one to three days of shelf‐life when compared to room cooled asparagus at 1C and 10C, and five to seven days when compared with asparagus stored at 20C. Results from this study illustrate that whenever a load of warm asparagus arrives to the airport facilities a forced‐air cooling treatment at 1C may be applied to delay product deterioration without causing chilling injury symptoms.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.058
GPT teacher head0.278
Teacher spread0.220 · 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