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Record W4323853771 · doi:10.18311/ti/2022/v29i4/30892

Phytochemical Characterization and Antioxidant Potential of Latex Extracts of Cardiotoxic Plants - <I>Cascabela thevetia</I> (L.) Lippold and <I>Plumeria alba</I> L.

2023· article· en· W4323853771 on OpenAlexaff
Sanjukta Rajhans, Himanshu Pandya

Bibliographic record

VenueToxicology International · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsImpact
Fundersnot available
KeywordsApocynaceaePhytochemicalTraditional medicineAntioxidantFlavonoidMedicinal plantsChemistryBotanyBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

The Apocynaceae family has been noted for their traditional and conventional medicinal properties for ages. The characteristic feature of this family is the milky sap or latex that is present in almost all the species. Many of the plants belonging to this family are a rich source of important drugs and are known for their pharmacological properties. Among the pharmacological properties, the antioxidant property is one that is known to protect against many chronic diseases including heart diseases and cancer. Two plants of the family i.e., Cascabela thevetia (L.) Lippold and Plumeria alba L. have been considered in the present experiment. Globally much research work has been conducted based on the different parts of these plants but, very little data is available on the latex portion. Hence in the present study, an attempt has been made to evaluate the phytochemical constituents present in the plants. Further, the total phenolic and flavonoid content and their correlation with the antioxidant potential have been evaluated.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.223
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 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
Published2023
Admission routes1
Has abstractyes

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