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Record W4285061800 · doi:10.5267/j.ccl.2022.4.001

Utilizing the date palm (Phoenix canariensis) seeds in the preparation of some special foods of high nutritional value

2022· article· en· W4285061800 on OpenAlex
El-Shahat El-Dreny, Marwa Mustafa Shaheen

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Chemistry Letters · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDate Palm Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceChemistryOrganolepticPhoenix dactyliferaHealth benefitsPalmTraditional medicine

Abstract

fetched live from OpenAlex

This research was carried out in order to evaluate the benefits of date seed powder (DSP) by adding it to bakery products to enhance the nutritional value of these products and maximize the economic value of these wastes. Thus, the contents of the (DSP) were determined from the chemical composition, mineral elements, amino acids, fatty acids, phenols and flavonoids, afterthought DSP were added to the toast bread and crackers with a ratio of 5, 10 and 15 % as substitute of the wheat flour and then the organoleptic properties of these products were evaluated. The findings of these investigations revealed that the (DSP) contains important minerals, essential amino acids, unsaturated fatty acids and antioxidants, and all of these compounds have an effective effect on the health of the body. In addition, the Sensorial evaluation of toast bread and crackers were shown to be acceptable by the judges, and thus the possibility of adding DSP to bakery products.

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)0.000
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 score0.501
Threshold uncertainty score0.211

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 head0.034
GPT teacher head0.279
Teacher spread0.246 · 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