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Record W4206236733 · doi:10.31665/jfb.2021.16286

The Power of Food Science and Technology and Nutrition for Sustainable Planet Health: Food Processing Saves Lives

2021· article· en· W4206236733 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Food Bioactives · 2021
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsFood processingBusinessFood scienceBlanchingMedicineBiotechnologyChemistryBiology

Abstract

fetched live from OpenAlex

Food processing includes a chain of events that starts in the farm and continues to the serving plate. These may include washing, dehydration, blanching, heat processing, and packaging, among others. While processing is essential for providing a safe food supply by eliminating harmful microorganisms and certain undesirable components, as well as revealing the desirable flavor of food, there has been much recent attempt to condemn food processing. Thus, loss of certain nutrients during processing and use of additives in ready to eat food as well as high levels of salt, sugar and fat/oil have been noted as being responsible for many non-communicable diseases due to increased incidence of obesity, diabetes and cardiovascular disease. These have all been categorised as ultra-processed food but attention to the definitions and details is most important.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.287
Teacher spread0.270 · 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