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Record W2991907552 · doi:10.1080/19476337.2019.1693430

Sensory properties of green table olives prepared by different fermentation processes

2019· article· en· W2991907552 on OpenAlexaff
Taha Rababah, Muhammad H. Alu’datt, Majdi Al‐Mahasneh, Sana Gammoh, Hana’a Mahili, Tha’er Ajouly, Carole C. Tranchant, Vaida Bartkutė-Norkūnienė

Bibliographic record

VenueCyTA - Journal of Food · 2019
Typearticle
Languageen
FieldChemistry
TopicEdible Oils Quality and Analysis
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsFlavorFood scienceAromaTasteFermentationChemistryTexture (cosmology)Sensory systemArtificial intelligencePsychologyComputer science

Abstract

fetched live from OpenAlex

This study evaluated the effect of debittering fermentation methods on the sensory properties of green table olives. The panelist results of appearance, aroma, taste, and texture showed that the most preference sensory attributes are found in treated with NaOH followed significantly by the whole, scratchy and ticked. The panelist results varied and showed the higher values of overall appearance found in NaOH followed by the whole, scratchy, and ticked. Also, the higher values of overall flavor and taste found in treated with NaOH followed by ticked, scratchy, and whole. The higher values of overall texture found in whole followed by treated with NaOH, scratchy and ticked. The higher values of overall bitter taste found in whole followed by scratchy, ticked and treated with NaOH. In conclusion, despite of NaOH processing fermentation debittering method has the most sensory parameters but in general not big differences were found comparison with other methods.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.462

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 integrity0.0000.000
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 head0.027
GPT teacher head0.241
Teacher spread0.214 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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