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Record W4411242482 · doi:10.18192/osurj.v4i1.7294

How Medicinal is Dried Angelica archangelica Relative to the Fresh Plant?

2025· article· en· W4411242482 on OpenAlexaffvenue
Sharon Barden, P. Mayer

Bibliographic record

VenueUniversity of Ottawa Science Undergraduate Research Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

The chemical composition of natural products is responsible for their medicinal properties. Angelica archangelica is known for its antimicrobial properties, which stem from terpenes that make up the bulk of the extract of the fresh plant. The dried root can be purchased from commercial sources and is sold for the above-mentioned medicinal characteristics. Though thorough identifications of the fresh plant’s composition have been made, there has been little in the way of characterization of the chemical components of the dried root. In this study, we use both organic solvents and supercritical CO2 to extract the dried root and compare the results to the essential oil (made from the fresh plant). The results show that the dried roots used in this study were devoid of the terpenes linked to the plant’s medicinal properties, and rather contain osthole, a coumarin derivative found in relatively small abundance with respect to the plant’s terpenes.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.752
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.039
GPT teacher head0.280
Teacher spread0.241 · 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.

Study designNot applicable
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
Published2025
Admission routes2
Has abstractyes

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