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Record W7034843016

Variation of hypericin in St. John's Wort (Hypericum
\nperforatum) from wild populations of Northern Turkey

2006· article· en· W7034843016 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMedical, Sociocultural, and Biopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHypericinHypericum perforatumHypericumPopulationMedicinal plantsCultivated plant taxonomy
DOInot available

Abstract

fetched live from OpenAlex

Hypericum perforatum L. (St. John's wort) is a
\nwell-known traditional medicinal plant that has been used for centuries for the
\ntreatment of several diseases and this feature is obviously attributed to the
\npresence of a broad spectrum of secondary metabolites including hypericins. In
\nthe present study, the aim was to determine total hypericin content of this
\nplant from wild population of Northern Turkey. Thus, Hypericum perforatum
\nplants representing a total of 45 wild populations were collected from 15 sites
\nin each of 3 regions, during flowering and subsequently assayed for total
\nhypericin. Hypericin content in these wild populations varied from 0.28 to 4.46
\nmg/g dry matter. According to the results of analysis of variance, there was a
\nsignificant difference in hypericin content between sites as well as regions.
\nOne of the problems associated with medicinal plant preparations is the extreme
\nvariability in the phytomedicinal and marker compounds. Products containing H.
\nperforatum have varied greatly in content of secondary metabolites since it is
\ncurrently supplied by cultivated and wild-harvested materials. Therefore the
\nvariation of phytomedicinals like hypericin in H. perforatum, especially from
\nwild populations has a great importance in term of health care and herbal
\nindustry.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.005
Scholarly communication0.0000.002
Open science0.0030.001
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 head0.024
GPT teacher head0.261
Teacher spread0.237 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

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