MétaCan
Menu
Back to cohort
Record W4213440421 · doi:10.29169/1927-5951.2021.11.02

Kniphofia foliosa Hochst, (Asphodelaceae)

2021· article· en· W4213440421 on OpenAlexvenueno aff
Elizabeth Bosede Aladejana, Collen Musara

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and biological activity of medicinal plants
Canadian institutionsnot available
FundersUniversity of Fort Hare
KeywordsAnthraquinonesAnthroneTraditional medicineAnthraquinonePhytochemistryEmodinChemistryBotanyBiologyOrganic chemistryMedicineBiochemistry

Abstract

fetched live from OpenAlex

This review gives the first comprehensive appraisal of Kniphofia foliosa Hochst, from the plant family Asphodelaceae: its botany, ethnomedicinal (with particular emphasis on the African communities), phytochemistry, and pharmacological potential. Particular emphasis is given to the biological and chemical properties. Peer review and literature search were done by conducting a logical and inclusive review. Indigenous cultures have used the plant among different ethnic groups in tropical Africa for medicinal and other purposes. The chemical compounds that have been isolated from K. foliosa include monomeric anthraquinones such as chrysophanol, islandicin, laccaic acid, aloe-emodin, and aloe-emodin acetate, which contain antileukaemic properties; dimeric anthraquinones such as asphodelin, knipholone, and chryslandicin; phenyl anthraquinones and anthrones, including knipholone anthrone, isoknipholone anthrone, knipholone, phenylanthrone knipholone anthrone and anthraquinone isoknipholone; oxanthrones such as isofoliosone and foliosone; and rare dimeric phenylanthraqunones joziknipholones A and B. The pharmacological studies on K. foliosa exhibited antimalarial, antioxidant, antibacterial, anti-HIV-1, and anti-leukotriene activities. From the above, it can be deduced that K. foliosa contains chemical constituents of pharmacological importance, contributing significantly to the development of new medicines.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.057
GPT teacher head0.304
Teacher spread0.247 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pharmacy and Nutrition SciencesSame topicPhytochemistry and biological activity of medicinal plantsFrench-language works237,207