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Secondary Metabolites of Carob Tree (Ceratonia siliqua L.)

2025· book-chapter· en· W4410431027 on OpenAlexaff
Yassine Mouniane, Yassine Kadmi, Meryem Doubi, Salma Tabi, Issam El-Khadir, Ahmed Chriqui, Aida Soufiani, Brahim El Ouardi, Khawla Rachmoune, Amir Souissi, Arpit Sharma, Surabhi Joshi, Driss Hmouni

Bibliographic record

VenueIGI Global eBooks · 2025
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsCeratonia siliquaTree (set theory)BotanyBiologyMathematics

Abstract

fetched live from OpenAlex

Research into these bioactive compounds will allow us to better understand their contribution to health benefits. Carob (Ceratonia siliqua L.) is a Mediterranean species rich in secondary metabolites such as polyphenols, flavonoids, and other bioactive compounds. These secondary metabolites confer important antioxidants, anti-inflammatory, and antimicrobial properties to carob, offering multiple applications in the food and pharmaceutical industries. This chapter reviews the main secondary metabolites present in carob fruits and leaves and their potential applications.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.735
Threshold uncertainty score0.500

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 head0.014
GPT teacher head0.227
Teacher spread0.212 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2025
Admission routes1
Has abstractyes

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