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Record W2043687678 · doi:10.1080/10412905.2006.9699404

Chemical Composition and Antifungal Activities of Essential Oils of <i>Satureja thymbra</i> L. and <i>Salvia pomifera</i> ssp. <i>calycina</i> (Sm.) Hayek

2006· article· en· W2043687678 on OpenAlexaff
Jasmina Glamočlija, Marina Sokóvić, Jelena Vukojević, Ivanka Milenković, L. J. L. D. van Griensven

Bibliographic record

VenueJournal of Essential Oil Research · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsInstitute for Biological Sciences
FundersNational Institute of Standards and Technology
KeywordsCarvacrolThymolFungicideAntifungalp-CymeneEssential oilBiologyBotanyChemistryFood scienceTraditional medicineMicrobiologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

This work covers the chemical composition and antifungal activities of essential oils isolated from savory (Satureja thymbra) and sage (Salvia pomifera ssp. calycina) analyzed using GC/MS. The main components of S. thymbra oil were γ-terpinene (23.2%) and carvacrol (48.5%). The main components in S. pomifera oil were α-thujone (20.4%) and β-thujone (36.1%). The oils were assayed for antifungal activity against Mycogone perniciosa. This mushroom's pathogen is very contagious and results in severe crop losses. Compounds were investigated by the microatmosphere method. The oil of S. thymbra showed the best antifungal activity. Minimal inhibitory and fungicidal quantities were 0.05–0.25 μL/mL.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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 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

Citations37
Published2006
Admission routes1
Has abstractyes

Explore more

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