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Record W581629599

Allergen management in the food industry.

2010· article· en· W581629599 on OpenAlexaboutno aff
Joyce I. Boye, Samuel Benrejeb Godefroy

Bibliographic record

VenueAndalas University Repository (Andalas University) · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsFood allergensAllergenFish <Actinopterygii>Food processingFood allergyAgricultural scienceAllergyFood scienceBiologyFishery
DOInot available

Abstract

fetched live from OpenAlex

PREFACE xi CONTRIBUTORS xv GLOSSARY OF TERMS xix PART I FOOD ALLERGY AND THE CONSUMER 1 1 Immune-Mediated Adverse Reactions to Dietary Proteins 3 Olga M. Pulido 2 Protecting Food-Allergic Consumers: Managing Allergens Across the Food Supply Chain 33 Sandra Kerbach, Anton J. Alldrick, Rene W.R. Crevel, Lilla Domotor, Audrey DunnGalvin, E.N. Clare Mills, Sylvia Pfaff, Roland E. Poms, Sandor Tomoskozi, and Bert Popping 3 Criteria to Determine Priority Allergens: Tree Nut Allergy Review 53 Jupiter M. Yeung 4 The Canadian Criteria for the Establishment of New Priority Food Allergens: Evidence for the Inclusion of Mustard and Insufficient Evidences for Garlic and Onion as Priority Allergens in Canada 75 Olga M. Pulido, Zoe Gillespie, and Samuel Benrejeb Godefroy PART II GENERAL PRINCIPLES FOR ALLERGEN MANAGEMENT AND CONTROL 131 5 Allergen Management and Control as Part of Agricultural Practices 133 Vernon D. Burrows 6 Principles and Practices for Allergen Management and Control in Processing 145 Warren E. Stone and Jupiter M. Yeung 7 Allergen Management and Control in the Foodservice Industry 167 M. Hazel Gowland PART III PROCESSING FOODS FREE FROM SPECIFIC ALLERGENS 205 8 Processing Foods from Dairy Proteins 207 Joyce I. Boye, Sahul H. Rajamohamed, and Michel Britten 9 Processing of Egg-Free Foods 259 Valery Dumont and Philippe Delahaut 10 Fish and Shellfi sh Allergens 271 Angelina O. Danquah, Joyce I. Boye, and Benjamin K. Simpson 11 Processing Foods Without Peanuts and Tree Nuts 289 Sahul H. Rajamohamed and Joyce I. Boye 12 Processing Gluten-Free Foods 333 Elke K. Arendt and Maria Helena B. Nunes 13 Processing Foods Without Soybean Ingredients 355 Joyce I. Boye, Lamia L'Hocine, and Sahul H. Rajamohamed 14 Manufacturing a Biscuit That Does Not Use Milk, Eggs, or Soybeans 393 Masahiro Shoji and Takahide Obata PART IV RISK ASSESSMENT AND RISK MANAGEMENT 421 15 Risk Assessment for Food Allergy 423 Rene W.R. Crevel 16 The Challenges of Precautionary Labeling 453 Fiona Fleming, Kirsten Grinter, Kim Leighton, Kevin Norman, Chris Preston, and Maria Said 17 Certification Programs for Foods Labeled as Free From Specific Allergens 473 Christine Dupuis and Ferdinand Tchounkeu 18 Emerging Allergens and the Future 495 Allaoua Achouri and Joyce I. Boye 19 Managing Risks and Preventing Food Allergy Incidents: A Regulator's Perspective 537 Samuel Benrejeb Godefroy, Sheila Dubois, and Sebastien La Vieille INDEX 575

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0730.030

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 head0.158
Teacher spread0.150 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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