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Record W2048386792 · doi:10.5539/jfr.v1n1p143

Comparative Study of Antioxidant Activity between Basic and Convenience Foods

2012· article· en· W2048386792 on OpenAlexvenueno aff
Irina Ioannou, Aude Hyardin, Céline Charbonnel, Mohamed Ghoul

Bibliographic record

VenueJournal of Food Research · 2012
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceAntioxidantAntioxidant capacityFood productsChemistryPopulationBiochemistryMedicine

Abstract

fetched live from OpenAlex

<p class="Standard">The behaviour of the antioxidant capacity (TEAC) and the total phenol content (TPC) of basic foods and convenience foods were analysed along the different steps of food preparation. The major loss of TEAC happens during the processing of convenience foods. A database has been constituted on the TEAC and the TPC of basic and convenience foods, commonly consumed by the French population. It showed that the addition of ingredients with high antioxidant activity to a complex preparation contributes to an increase in the total antioxidant capacity, but not in a proportional way. Differences between expected and measured values are 31 % for two ingredients and 14 % for three ingredients. For the TPC, the increase corresponds to the sum of the TPC of the ingredients. It also showed that microwave reheating and food storage, in most cases, did not lead to variations on TEAC and TPC of convenience foods.</p>

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.274
GPT teacher head0.473
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2012
Admission routes1
Has abstractyes

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