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Record W1003723796

Surface compounds extruded by food and feed plants affect mitoses

2009· article· en· W1003723796 on OpenAlexaff
A.M. Zobel, G. Zobel, S.E. Schellenberger

Bibliographic record

VenueBromatologia i Chemia Toksykologiczna · 2009
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsTrent University
Fundersnot available
KeywordsBrassica oleraceaChemistryBrassicaWaxCoumarinBotanyMitosisMedicago sativaExtraction (chemistry)BiologyChromatographyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Surface compounds from Ruta graveolens, Brassica oleracea, Medicago sativa, Uncaria tomentosa, and a mixture of surface compounds from Taxus wallichiana with coumarin inhibited mitoses. They thus could act as antimicrobial or even anticancer agents used in food and feed. The compounds removed from the interior of the same plants either stimulate mitoses, as in B. oleracea and M. sativa or inhibit mitoses, although much less than do surface deposits. The sampled leaves or twigs were treated fi rst for 1-2 seconds by dipping them into almost-boiling water (Zobel and Brown, 1988) to remove melted waxes and natural products deposited in and on the wax. A standard method was then used to remove fl avonoids and other phenolics from the rest of the tissue, with prolongation of the extraction to overnight. In Ruta, Brassica and Medicago, coumarins were found in the highest concentrations. In Uncaria alkaloids and tannins were found. In Taxus taxoids were found, but because these are mutagenic the coumarin was added to avoid the mutagenic effect; thus even at 10-15 ppm of taxoids 50 ppm of coumarin inhibited mitosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2009
Admission routes1
Has abstractyes

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