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Record W4361304428 · doi:10.5650/jos.ess22276

Quality Indices, Phenolic Compounds and Sensory Evaluation of Flavored Olive Oil

2023· article· en· W4361304428 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.

Bibliographic record

VenueJournal of Oleo Science · 2023
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsScience North
FundersNorthern Border UniversityBeni-Suef University
KeywordsOrganolepticFood sciencePeroxide valueChemistryOlive oilPepper

Abstract

fetched live from OpenAlex

In this study, the effect of adding some aromatic plants (garlic, rosemary, thyme, and hot-red pepper) on the quality and organoleptic properties of flavored olive oil extracted from the olive fruits Maraqi variety are studied after adding aromatic plants at a concentration of 2%. Acidity, peroxide value, K232, K270, sensorial attributes, oxidative stability, and phenolic contents had been monitored. Also, phenolic compounds are identified in the flavored and unflavored olive oil samples. These results demonstrated that the aromatic plant had enhanced the flavored olive oil stability; the levels of addition of aromatic plants could be distinguished by the taster's sensory attributes of flavored olive oil. As the plan of the experiment includes process preparation and consumer preference, it is possible to apply the obtained results to the production of flavored olive oil. The producers will gain a new product with more added values due to the nutritional and antioxidant strength of the aromatic 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)0.008
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.118
GPT teacher head0.398
Teacher spread0.280 · 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