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Argan Oil and Postmenopausal Moroccan Women: Impact on the Vitamin E Profile

2013· article· en· W3054478 on OpenAlexaff
Hanae El Monfalouti, Zoubida Charrouf, Asma El Hamdouchi, Hanane Labraimi, Imane Chafchaouni-Moussaoui, Badr Eddine Kartah, Khalid El Kari, Yahya Bensouda, Abdelfettah Derouich, Sylvie Dodin, Clément Denhez, Dom Guillaume, Hassan Agnaou

Bibliographic record

VenueNatural Product Communications · 2013
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPostmenopausal womenOlive oilAntioxidantVitamin EMedicineVitaminVitamin CTraditional medicineFood scienceEdible oilInternal medicineChemistryBiochemistry

Abstract

fetched live from OpenAlex

Vitamin E supplements could be beneficial for postmenopausal women. To evaluate the effect of edible argan oil consumption on the antioxidant status of postmenopausal women, the vitamin E serum level of 151 menopausal women consuming either olive or argan oil was determined. Serum level of vitamin E was increased in the argan oil consumer group. Therefore, an argan oil-enriched diet can be recommended to help prevent some postmenopausal disorders.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.370

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 integrity0.0000.001
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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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 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

Citations6
Published2013
Admission routes1
Has abstractyes

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