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Record W4400739192 · doi:10.53555/sfs.v10i1.2882

In vitro antioxidant, Anti-diabetic, Anti-inflammatory of Cheilocostus speciosus rhizome extracts

2023· article· en· W4400739192 on OpenAlexvenueno aff
Shalet Varghese, K Baskaran., N Haseera., Nirmala Devi. N

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRhizomeTraditional medicineIn vitroAntioxidantAnti-inflammatoryChemistryPharmacologyBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Costus speciosus is an erect perennial herb belonging to family Coastaceae, an important medicinal plant widely used in several indigenous medicinal formulations. Presently, these plants could be collected from wild habitat only. Due to indiscriminate collection from natural habitat it has become endangered. In the present investigation, the phytochemical and antioxidant activity of the rhizome extracts of Costus speciosus were evaluated.Secondary metabolites such as carbohydrates, alkaloids,. The DPPH, ABTS, nitric oxide anti scavenging activity of water, methanol, ethanol, ethyl acetate and chloroform and five extract for in vitro anti diabetic and anti-inflammatory activity. The present findings for flavonoids and minerals suggested that their contents are responsible for significant antioxidant activity in all extracts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.156
GPT teacher head0.276
Teacher spread0.120 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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