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Record W3004724026 · doi:10.1139/cjb-2019-0103

New perspectives on secretory structures in <i>Clusia</i> (Clusiaceae – Clusiod clade): production of latex or resins?

2020· article· en· W3004724026 on OpenAlexvenueno aff
Ana Cláudia Alencar, Elisabeth Dantas Tölke, Juliana Lischka Sampaio Mayer

Bibliographic record

VenueBotany · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsClusiaceaeBiologySynapomorphyExudateCladeBotanyPhylogeneticsBiochemistryGene

Abstract

fetched live from OpenAlex

The Clusioid clade is quite diverse, encompassing the five families Clusiaceae, Bonnetiaceae, Calophyllaceae, Hypericaceae, and Podostemaceae. However, its members have important synapomorphies, such as the presence of xanthones, polyisoprenylated benzophenones, and quinones, as well as schizogenous secretory ducts and cavities, and tenuinucellate ovules. Owing to the milky appearance of the exudate present in ducts of these families (except Bonnetiaceae), many authors have referred to this secretion as latex, while others have preferred to use the term resin. Faced with this confusion about the description of the exudate present in Clusiaceae, the aim of this study was to identify which classes of substances are being produced by those structures in the genus Clusia, compared with other members of Clusiaceae and the Clusioid clade in general. Furthermore, we describe the structure and distribution of the secretory ducts in species of Clusia, as well as a detailed histochemical study. These secretory ducts secrete an exudate of variable composition, but predominantly terpenic. We conclude that Clusia, as well as some representatives of the Clusioid clade, do not have latex but resiniferous secretory ducts.

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 score0.903
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.269
Teacher spread0.238 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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