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Record W4367171955 · doi:10.18280/mmep.100204

Application of Microwave Energy in Agriculture

2023· article· en· W4367171955 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.

venuePublished in a venue whose home country is Canada.
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

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsnot available
Fundersnot available
KeywordsMicrowaveAgricultureEnergy (signal processing)Agricultural economicsAgroforestryAgricultural engineeringBusinessEnvironmental scienceGeographyComputer scienceEconomicsTelecommunicationsEngineeringMathematicsStatisticsArchaeology

Abstract

fetched live from OpenAlex

The purpose of this research is to modernize microwave dryers for drying agricultural products, where it is simultaneously possible to carry out thermal and non-thermal microwave modifications of objects.The paper considers microwave dryers for processing of both agricultural products (grain processing, pre-sowing seed treatment) and building materials (wood, polymer threads).The possibility of forming a new field based on the use of microwave electrotechnological installations on hybrid-type working chambers is shown, which will allow an agricultural producer to enter the commodity market not only with agricultural produce, but also with polymer materials with new properties obtained with non-thermal microwave modification in microwave electrotechnological installations with a hybrid-type chamber.As a result of the modernization of existing microwave electrotechnological installations, in which only thermal or non-thermal microwave modifications are carried out, and combining them into one microwave electrotechnological installation with a hybrid type chamber, in which thermal microwave processing of agricultural products, wood and non-thermal microwave processing of polymer materials will be carried out simultaneously, will significantly expand the possibilities of using microwave electrotechnology in agriculture.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.221

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 head0.011
GPT teacher head0.182
Teacher spread0.171 · 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