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Record W4410749544 · doi:10.1002/14356007.a11_523.pub2

Foods, 2. Food Technology

2025· other· en· W4410749544 on OpenAlexaff
Martin Michel, Vincent Meunier, Pavel Jelen

Bibliographic record

VenueUllmann's Encyclopedia of Industrial Chemistry · 2025
Typeother
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFood scienceChemistry

Abstract

fetched live from OpenAlex

Abstract The article contains sections titled: 1 Introduction 1.1 Food Manufacture and Preservation 1.2 Food Spoilage by Microorganisms 1.3 Chemical Deterioration of Food 1.4 Moisture Content and Water Activity 2 Food Preservation by Dehydration 2.1 Concentration and Drying 2.2 Food Concentration Technology 2.3 General Aspects of the Food Drying Processes 2.4 Food Drying Technology 2.4.1 Convection Drying 2.4.2 Contact, Vacuum, and Freeze Drying 2.4.3 Radiant‐Heat Drying 2.5 Agglomeration/Granulation of Food Powders 2.6 Moisture Sorption Isotherms of Foods 2.7 Intermediate‐Moisture Foods 3 Food Preservation at Low Temperature 3.1 Refrigeration and Freezing 3.2 General Aspects of the Food Freezing Process 3.3 Food‐Freezing Technology 3.3.1 Convective Processes 3.3.2 Cryogenic Freezing 3.3.3 Contact Processes 3.3.4 Freezing System Capacities 3.4 Effects of Freezing on Foods 3.5 Frozen Storage and Thawing 3.6 Freeze Concentration and Freeze Texturization 4 Food Preservation by Heating 4.1 Pasteurization and Sterilization 4.2 Theory of Microbial Deactivation by Heating 4.2.1 Heat Resistance of Microorganisms 4.2.2 Process Calculations for Canned Foods 4.3 Food Canning Technology 4.3.1 Sanitary Can Architecture 4.3.2 Conventional Retorting Equipment 4.3.3 Hydrostatic Sterilizers 4.3.4 Flame Sterilization 4.3.5 Retortable Pouches 4.3.6 Aseptic Canning 4.4 Ultrahigh‐Temperature Aseptic Processing 4.4.1 Theoretical Basis of UHT Processing 4.4.2 Ultrahigh‐Temperature Sterilization 4.4.3 Aseptic Packaging 4.4.4 Quality of UHT‐Processed Foods 4.5 Spoilage in Heat‐Sterilized Foods 4.6 Ohmic Heating 5 Other Food Preservation Methods 5.1 Ionizing Radiation 5.1.1 Radurization, Radappertization, and Radicidation 5.1.2 Theoretical Aspects of Food Irradiation 5.1.3 Food Irradiation Technology 5.2 UV Light 5.3 High‐Pressure Processing 5.4 Pulsed Electric Field Processing 5.5 Cold Plasma Processing 5.6 Micro‐ and Ultrafiltration 5.7 Chemical Preservatives 5.8 Multi‐

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 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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.257
Teacher spread0.239 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

Explore more

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