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Record W3104337938 · doi:10.3920/wmj2020.2586

Emergence of cold plasma and electron beam irradiation as novel technologies to counter mycotoxins in food products

2020· article· en· W3104337938 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

VenueWorld Mycotoxin Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMycotoxinDetoxification (alternative medicine)Environmental scienceMechanism (biology)IrradiationBiochemical engineeringBiotechnologyChemistryFood scienceBiologyPhysicsEngineeringMedicine

Abstract

fetched live from OpenAlex

Today, mycotoxins are considered a serious risk for human health and the economy around the world. Hence, dealing with them in such a way as to minimise damage to food and plant materials has become an important issue. Cold atmospheric plasma and electron beam irradiation are updated and non-thermal technologies, which are recently used in detoxification of mycotoxins. Both of these technologies have several unique features that turn them into efficient methods for degrading mycotoxins. Therefore, the main purpose of the present study is exhibiting the detoxification power of these methods and parameters affecting their activity. Besides, their advantages, generating systems, activity mechanism, and the toxicity of degradation products are also reviewed.

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)0.001
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 score0.031
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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