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Record W4390984185 · doi:10.1097/hm9.0000000000000090

Pharmacological effects of volatile oil from chrysanthemum and its associated mechanisms: a review

2024· review· en· W4390984185 on OpenAlexaff
Jing Zhang, Weiqiang Su, Nina Filipczak, Ying Luo, Anping Wan, Yao He, Shijuan Yan, Xiang Li, Ming Yang

Bibliographic record

VenueAcupuncture and Herbal Medicine · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsAromatherapyChemical constituentsTraditional medicineAntipyreticMedicineSedativeAnalgesicAntioxidantChemistryPharmacologyOrganic chemistryAlternative medicine

Abstract

fetched live from OpenAlex

Volatile oil (VO) is the main chemical component of common plants in Chrysanthemum genus, and it possesses several beneficial pharmacological properties, including bacteriostatic, antioxidant, anti-tumor, anti-inflammatory, antipyretic, analgesic, anti-osteoporotic, antihypertensive, sedative, and hypnotic effects. To date, research on the effective components of Chrysanthemum extract has mainly focused on flavonoids, whereas limited data are available on the chemical constituents and underlying mechanisms of action of the VO components. In this review, the pharmacological activities and mechanisms of VO are comprehensively reviewed with the aim of providing a foundation for further development for medicinal, aromatherapy, and diet therapy applications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.297
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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