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Record W2172523895 · doi:10.1002/9781118864463.ch11

Enzymes Inhibitors: Food and Non‐Food Impacts

2015· other· en· W2172523895 on OpenAlexaff
Nana Akyaa Ackaah‐Gyasi, Yi Zhang, Benjamin K. Simpson

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsMcGill University
Fundersnot available
KeywordsEnzymeFood industryBiochemistryEndogenyBiotechnologyBiologyBiochemical engineeringChemistryFood scienceEngineering

Abstract

fetched live from OpenAlex

Enzyme inhibitors are molecules that act to slow down the catalytic effects of enzymes. Although enzymes find manifold useful applications in industry, their effects in both food and non-food systems may not always be desirable. Controlling the undesirable effects of enzymes in industrial applications is therefore both useful and necessary. Enzyme inhibitors are generally low-molecular-weight compounds and may be classified into two types: naturally occurring or endogenous forms found in living organisms, and artificial forms produced by chemical synthesis. Because the endogenous enzyme inhibitors occur naturally in living organisms, it is expected that their use in food and in biomedical applications would meet with more consumer acceptance than their synthetic counterparts. The material covered in this chapter includes enzyme inhibitor types, sources, functions and their food and biomedical applications.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.011

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 head0.008
GPT teacher head0.231
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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