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Record W2124915099 · doi:10.5539/ijb.v4n2p64

Phytochemical Composition and Antifungal properties of Leaf, Stem and Florets of Panicum maximum Jacq. (Poaceae)

2012· article· en· W2124915099 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Biology · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPanicumPhytochemicalBiologyAntifungalBotanyAspergillus nigerComposition (language)Traditional medicineHorticultureFood scienceMicrobiology

Abstract

fetched live from OpenAlex

Ethanol extracts of leaf, stem and florets of Panicum maximum plant were investigated for antifungal activity by disc diffusion agar method. The phytochemical composition of the extracts were also determined. Leaf and floret extracts had significant antifungal activity with varing zones of inhibition on Aspergillus tamari, Aspergillus fumigatus, Aspergillus niger and Candida albican: isolated from patients with skin diseases. The ethanol leaf extracts was more active than the floret extract. The ethanol leaf extract of Panicum maximum caused highest zone of inhibition (15.0 ± 0.1mm) on A. tamari. The three extracts contain alkaloids, tannins, saponins and flavonoids in varying quantities which may have been responsible for the variation in their activities. Results support the use of this plant as antifungal agent.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.091

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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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