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Record W581629599

Allergen management in the food industry.

2010· article· en· W581629599 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
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