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Record W2791405309 · doi:10.1080/07373937.2018.1439503

Evaluation of strawberries dried by radio frequency energy

2018· article· en· W2791405309 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDrying Technology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Drying and Modeling
Canadian institutionsnot available
FundersChina Postdoctoral Science FoundationUniversity of British ColumbiaNational Natural Science Foundation of China
KeywordsDielectric heatingRadio frequencyMicrowaveDielectricMaterials scienceChemistryPulp and paper industryOptoelectronicsElectrical engineering

Abstract

fetched live from OpenAlex

Dielectric processing has recently attracted attention in both agriculture research and industry as an efficient heating/drying method. Dielectric processing includes drying by radio frequency (RF) and microwave drying (MW). The characteristics of RF dried strawberries were evaluated and compared to hot air drying (AD), freeze-drying (FD) and MW drying. Our results showed that dielectric drying was superior in terms of drying rate. The total drying time of MW and RF were 40 and 55 min, respectively, compared to 100 and 1,320 min for AD and FD, respectively. Compared to MW drying, RF drying offered better uniformity of temperature distribution and energy transformation. RF dried strawberries also had superior color compared to AD and MW, as well as greater retention of carotenoid, anthocyanins and total phenolics, the quality of RF dried samples was close to FD samples. SEM photos indicated RF dried samples showed better quality (smoother surface) than MW. Flavor analysis showed that all drying methods reduced aromatic substances.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.179

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)0.0000.000

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 head0.031
GPT teacher head0.250
Teacher spread0.219 · 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