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Record W2045081279 · doi:10.1007/s11746-004-963-y

Phenolic antioxidants in beans and their effects on inhibition of radical‐induced DNA damage

2004· article· en· W2045081279 on OpenAlexafffund
Terrence Madhujith, Ryszard Amarowicz, Fereidoon Shahidi

Bibliographic record

VenueJournal of the American Oil Chemists Society · 2004
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCyanidinFood scienceHydroxycinnamic acidFerulic acidAntioxidantAcetoneVanillic acidCaffeic acidBotanyAnthocyaninBiochemistryBiology

Abstract

fetched live from OpenAlex

Abstract Four bean varieties with different hull colors (white, brown, red, and black) were extracted with 80% acetone and evaluated for their antioxidant potential. Red, brown, and black bean extracts were able to effectively retain supercoiled DNA against 2,2′‐azobis(2‐methylpropionamidine) dihydrochloride (AAPH)‐induced radical damage at the concentration levels (5, 10, 50, and 100 ppm) tested. Delphinidin, cyanidin, and procyanidins B2, C1, C2, and X were identified in red, brown, and black bean hull extracts, whereas white bean hull extract contained only a small amount of flavonoids. Vanillic, caffeic, p ‐coumaric, ferulic, and sinapic acids were the main phenolic acids identified in bean hull extracts.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 designBench or experimental
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

Citations55
Published2004
Admission routes2
Has abstractyes

Explore more

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