MétaCan
Menu
Back to cohort
Record W1969725611 · doi:10.1055/s-2002-36352

An<i>in vitro</i>and Hydroponic Growing System for Hypericin, Pseudohypericin, and Hyperforin Production of St. John’s Wort (<i>Hypericum perforatum</i>CV New Stem)

2002· article· en· W1969725611 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePlanta Medica · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFlowering Plant Growth and Cultivation
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsHypericum perforatumHypericinHyperforinHypericumAcclimatizationMedicinal plantsPhloroglucinolGreenhouseBiologyBotanyPharmacology

Abstract

fetched live from OpenAlex

While the interest in medicinal plants continues to grow, there is a lack of basic information with respect to efficient protocols for plant production. Recently, in vitro regeneration protocols have been developed to provide masses of sterile, consistent St. John's wort. The current study assessed the potential for acclimatization of in vitro grown St. John's wort plantlets to a nutrient film technique (NFT) hydroponic system in a controlled environment greenhouse. Quantitative analyses of hypericin, hyperforin and pseudohypericin in flower tissues were used as the parameters to assess the quality of the greenhouse-grown plants. The three bioactive compounds were found to be present in similar or higher amounts than previously reported values for field-grown plants. These data provide evidence that greenhouse hydroponic systems can be effectively used for the efficient production of St. John's wort and other medicinal plants.

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.

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 score0.242
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.194
Teacher spread0.177 · 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