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Record W2143914848 · doi:10.1111/ijfs.12562

Effect of edible coatings on fruit maturity and fungal growth on <scp>B</scp>erhi dates

2014· article· en· W2143914848 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

VenueInternational Journal of Food Science & Technology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsUniversity of Manitoba
FundersDeanship of Academic Research, University of Jordan
KeywordsCarnauba waxStarchWaxFood scienceMoistureHorticultureChemistryCoatingBotanyBiologyBiochemistry

Abstract

fetched live from OpenAlex

Summary Berhi date palm fruits were harvested at the khalal stage, coated with different edible materials: pea starch ( PS ), zein protein ( ZP ), pea starch + carnauba wax ( PS + CW ) and zein protein + carnauba wax ( ZP + CW ) and stored at 3 or 25 °C for 21 days. Different fruit maturity indicators (colour, firmness, total soluble solids, moisture and tannins) and fungal numbers were monitored during storage. PS and ZP coatings at 3 °C were the most effective in retarding fruit maturation by extending the khalal stage from 7 to &gt;14 days. They were less effective at 25 °C, where the khalal stage was extended only ≤7 days. PS + CW and ZP + CW coatings prevented sample moisture loss, but they accelerated degradation of simple sugars at 25 °C, and this indicated a shift to anaerobic fruit respiration. The PS + CW and ZP + CW coatings, particularly at 3 °C, were the most effective in preventing fungal growth, whereas the PS coating promoted fungal growth.

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)0.006
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 score0.070
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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