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Record W2117293335 · doi:10.5539/jps.v1n2p61

Chemotaxonomical and Palynological Studies on Nine Acacia Species Occurring in Sudan

2012· article· en· W2117293335 on OpenAlexvenueno aff
Sakina Yagi, P. Khristova, Sami A. Khalid

Bibliographic record

VenueJournal of Plant Studies · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPollenAcaciaPalynologyStipuleBotanyBiology

Abstract

fetched live from OpenAlex

The present study was carried out on the chemotaxonomy and palynology of nine Acacia species occurring in Sudan. It included a preliminary phytochemical screening of the flowers extracts using thin layer chromatography (TLC) followed by isolation of the major compounds from A. nilotica flowers. Palynological results showed that the studied species, except for A. laeta, can be divided into two types; Type 1 pollen characterized by spinescent stipules and Type 2 pollen typified by non-spinescent stipules. A. laeta, in addition to all characters of Type 2 pollen, has polyads with 18-20 monads, a fact supporting its hybrid origin. TLC of extracts revealed the presence of phenolic substances with selective reactivity towards phenolic detecting- reagents. TLC comparison of the isolated compounds with extracts from studied species revealed that gallic acid and its methyl ester were only persistent in Acacia species exhibiting spinescent stipules. Thus, suggesting their use as good chemotaxonomic markers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.119
GPT teacher head0.280
Teacher spread0.161 · 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 designObservational
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

Citations5
Published2012
Admission routes1
Has abstractyes

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