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Record W4315851720 · doi:10.47413/vidya.v1i1.32

A CRITICAL REVIEW ON PHARMACOLOGICAL AND MECHANICAL PROPERTIES OF DAIDZEIN

2022· review· en· W4315851720 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

VenueVIDYA - A JOURNAL OF GUJARAT UNIVERSITY · 2022
Typereview
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsImpact
Fundersnot available
KeywordsDaidzeinIsoflavonesGenisteinChemistryCancerMedicineTraditional medicinePharmacologyBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

Medicinal plants have proved to be of great importance since long back as they are traditionally used to make plant-derived medicines that are a good alternative to synthetic chemicals. Daidzein is one such chemical compound that belongs to the group of isoflavones and is obtained from leguminous plants, especially soy plants. Daidzein is structurally similar to human hormone estrogen due to which is also called a phytoestrogen. Daidzein is an isoflavone compound that is mostly found in glycosylated form in plants while in humans it is found in free form in the bloodstream. It is clinically used in treatment of variety of cancers. It has become quite successful in treating ovarian cancer, breast cancer, and thyroid cancer. Daidzein also possess some exquisite properties such as anti-inflammatory properties, anti-oxidant properties, and neuroprotective properties. In this paper mechanical properties of daidzein are also discussed in which daidzein has been proved as an excellent wood adhesive agent for industrial purpose. Also, daidzein is used as flame retardant and is doing good in dietary supplementations. Daidzein can be important for further pharmaceutical and industrial 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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.948
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0010.000

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 head0.164
GPT teacher head0.342
Teacher spread0.178 · 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