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COMPUTER SIMULATION of CAPACITIVE RADIO FREQUENCY (RF) DIELECTRIC HEATING ON VEGETABLE SPROUT SEEDS

2003· article· en· W2058691449 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueJournal of Food Process Engineering · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Drying and Modeling
Canadian institutionsnot available
FundersFood Safety and Inspection Service
KeywordsDielectricRectangleCapacitive sensingRadio frequencyMaterials scienceDielectric heatingMoistureThermalFinite element methodEnhanced Data Rates for GSM EvolutionComposite materialElectrical engineeringMathematicsPhysicsEngineeringThermodynamicsGeometryOptoelectronicsTelecommunications

Abstract

fetched live from OpenAlex

ABSTRACT The application of a three‐dimensional finite‐element computer program package, TLM‐FOOD‐HEATING (FAUSTUS Scientific Corp., Victoria, Canada), on the simulation of capacitive radio frequency (RF) dielectric heating of radish and alfalfa seeds was investigated. Seeds placed inside polystyrene boxes were described as a rectangle, where nonuniform boundary conditions presented complications in the simulation. Temperature and moisture dependent thermal properties and temperature and frequency dependent dielectric properties of seeds were considered in the modeling. the time‐temperature profiles of seeds at different locations within the rectangle seeds boxes were simulated. the model was then validated using experimental data. Simulated temperature distribution in seeds was consistent with the measured results. the absolute temperature differences between simulated and measured values in radish seeds packed in a 100 × 25 × 50 mm rectangle seeds box were 1.8C, 1.1C, 8.9C, and 13.6C in the center, top, edge, and bottom locations, respectively, when seeds reached about 80C, and were 0.9C, 2.4C, 7.75C, and 14.3C, respectively, in alfalfa seeds box in the same conditions.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.207

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 head0.019
GPT teacher head0.216
Teacher spread0.198 · 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