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Record W2101679705 · doi:10.1079/9780851996073.0000

Food safety: contaminants and toxins

2003· book· en· W2101679705 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

VenueCABI Publishing eBooks · 2003
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
Fundersnot available
KeywordsFood safetyFood contaminantHuman healthGeographyEnvironmental healthBiologyMedicineFood science

Abstract

fetched live from OpenAlex

PART I: BIOTOXINS Chapter 1: Plant Toxins and Human Health, P S Spencer and F Berman, Oregon Health and Science University, USA Chapter 2: Bacterial Pathogens and Toxins in Foodborne Disease, E A Johnson, University of Wisconsin, USA Chapter 3: Shellfish Toxins, A Gago Martinez, University of Vigo, Spain and J F Lawrence, Health Canada, Ontario, Canada Chapter 4: Mycotoxins in Cereal Grains, Nuts and Other Plant Products, J P F D'Mello PART II: ANTHROPOGENIC CONTAMINANTS Chapter 5: Pesticides: Toxicology and Residues in Food and Wine, P Cabras, Universita di Cagliari, Italy Chapter 6: Polychlorinated Biphenyls, D L Arnold and M Feeley, Health Canada, Ottawa, Canada Chapter 7: Dioxins in Milk, Meat, Eggs and Fish, H Fiedler, UNEP, Geneva, Switzerland Chapter 8: Polycyclic Aromatic Hydrocarbons in Vegetable Oils, Seafood and Meat, M D Guillen and P Sopelana, Universiad del Pais Vasco, Vitoria, Spain Chapter 9: Heavy Metals, L Jorhem, National Food Administration,Uppsala, Sweden Chapter 10: Dietary Nitrates, Nitrites and N-nitroso Compounds and Cancer Risk with Special Emphasis on the Epidemiological Evidence, M Eichholzer and F Gutzwiller, University of Zurich, Switzerland Chapter 11: Adverse Reactions to Food Additives, R A Simon, Division of Allergy, Asthma and Immunology, Scripps Clinic, California, USA and H Ishiwata, National Institute of Health Sciences, Tokyo, Japan Chapter 12: Migration of Compounds from Food Contact Materials and Articles, J H Petersen, Danish Veterinary and Food Administration, Soborg, Denmark Chapter 13: Veterinary Products: Residues and Resistant Pathogens, J C Paige and L Tollefson, Division of Epidemiology, MD, USA PART III: CASE STUDIES Chapter 14: Prion Diseases: Meat Safety and Human Health Implications, N Hunter, Institute for Animal Health, Edinburgh, UK Chapter 15: The Safety Evaluation of Genetically Modified Foods, M J Gasson, Institute of Food Research, Norwich, UK Chapter 16: Genetically Modified Foods: Potential Human Health Effects, A Pusztai, S Bardocz, Aberdeen and S W B Ewen, University of Aberdeen, Scotland Chapter 17: Radionuclides in Food: The Post-Chernobyl Evidence, J T Smith and N A Beresford, Centre for Ecology and Hydrology, Dorchester, UK Chapter 18: Radionuclides in Foods: American Perspectives, E J Baratta, Winchester Engineering and Analytical Centre, MA, USA PART IV: CONCLUSIONS Chapter 19: Widespread and Continuing Concerns over Food Safety, J P F D'Mello

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.045
GPT teacher head0.220
Teacher spread0.175 · 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