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Record W2082056935 · doi:10.1080/10412905.2006.9699380

Investigation of Leaf Essential Oil of<i>Myrica gale</i>L. from Quebec: Purification and Analysis of Oxygenated Fractions

2006· article· en· W2082056935 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Essential Oil Research · 2006
Typearticle
Languageen
FieldMedicine
TopicMedicinal plant effects and applications
Canadian institutionsUniversité du Québec à Chicoutimi
FundersConseil Régional de Guadeloupe
KeywordsChemistryFraction (chemistry)FractionationMyrceneTerpeneHumuleneEssential oilCitronellolChromatographyBotanyOrganic chemistryLimoneneGeraniolBiology

Abstract

fetched live from OpenAlex

Abstract The leaf essential oil of Myrica gale L. was isolated by hydrodistillation. The chemical composition of the whole oil was determined by GC and GC/MS analyses. We identified 48 components and eudesm-11-en-4-ol (11.5%), myrcene (11.3%), β-caryophyllene (8.4%) and α-phellandrene (7.1%) were the major compounds. Many oxygenated components could not be immediately identified in this whole oil. Thus, fractionation of the leaf oil of M. gale by high pressure flash chromatography yielded four fractions that were analyzed by GC and GC/MS. Fraction 1 was a terpene hydrocarbon fraction, whereas fractions 2 and 3 were mainly composed of oxygenated compounds except alcohols. Germacrone (46.3%) was the major constituent in fraction 2 whereas caryophyllene oxide (44.8%) and humulene epoxide II (22.1%) were predominant in fraction 3. The fourth fraction contained exclusively alcohols with selin-11-en-4α-ol (78.6%) as the major component.

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)0.001
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 score0.307
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.036
GPT teacher head0.350
Teacher spread0.313 · 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