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Record W7116345668 · doi:10.5281/zenodo.17992398

PROSPECTS FOR THE CULTIVATION AND USE OF ESSENTIAL OIL SPECIES OF THE GENUS MONARDA L. IN UKRAINE

2025· article· uk· W7116345668 on OpenAlexaboutno aff
Ninel Kovalenko, Ganna Pospielova, С. В. Поспєлов

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageuk
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsEssential oilThymolCarvacrolGenusCrop

Abstract

fetched live from OpenAlex

Since the end of the 20th century, scientists have been actively studying the bactericidal and fungicidal properties of essential oils of the genus Monarda L. (Lamiaceae), rich in thymol and carvacrol – powerful antiseptics. This North American spice and aromatic crop has been cultivated for over 300 years in the USA, Canada, and Europe (about 2–2.5 thousand hectares). In Ukraine, breeders from the National Academy of Agrarian Sciences have created adapted varieties: Premier (M. fistulosa, 0.8% oil, 78.3% thymol), Fortuna (winter-hardy), Tenderness (M. didyma), and Tonya (hybrid) for the southern steppe. Oils from leaves and flowers (citrus, mint aroma) are used in pharmaceuticals, cosmetics, aromatherapy, and food. High antimicrobial potential justifies commercial cultivation for the domestic market. З кінця XX ст. науковці активно вивчають бактерицидні та фунгіцидні властивості ефірних олій роду Monarda L. (Lamiaceae), багатого на тимол і карвакрол – потужні антисептики. Ця північноамериканська пряноароматична культура культивується понад 300 років у США, Канаді, Європі (близько 2– 2,5 тис. га). В Україні селекціонери НААН створили адаптовані сорти: Прем'єра (M. fistulosa, 0,8% олії, 78,3% тимолу), Фортуна (зимостійкий), Ніжність (M. didyma), Тоня (гібрид) для південного Степу. Олії з листків і квіток (цитрусовий, м'ятний аромат) застосовують у фармацевтиці, косметиці, ароматерапії, харчуванні. Високий антимікробний потенціал обґрунтовує комерційне вирощування для вітчизняного ринку.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.226
Teacher spread0.194 · 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.

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
Published2025
Admission routes1
Has abstractyes

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