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Record W2095650840 · doi:10.1139/cjb-2013-0210

Development of leaf shape in two North American native species of<i>Ampelopsis</i>(Vitaceae)

2013· article· en· W2095650840 on OpenAlexaffvenue
Austin William Jones, Benjamin Doughan, Jean M. Gerrath, Julie Kang

Bibliographic record

VenueBotany · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsUniversity of Guelph
FundersNational Science Foundation
KeywordsVitaceaeBiologyBotanyDisjunctDisjunct distributionGenusLianaPrimordiumOld WorldPhylogenetic treeZoologyVitis viniferaPopulation

Abstract

fetched live from OpenAlex

The Vitaceae (grape family) is a large group of plants with a world-wide distribution. Despite the economic importance of cultivated grapes (Vitis vinifera L.), very little is known about leaf development in the Vitaceae. The genus Ampelopsis contains simple- and compound-leafed forms making it an appropriate genus in which to conduct a comparative developmental study. The Ampelopsis clade diverged early from the rest of the Vitaceae, and the simple- and compound-leaf morphologies are separated into two distinct lineages, leaving the question of how this morphological disjunct arose and what the ancestral leaf shape of this genus might have been. Thus, understanding the development of this trait will clarify our understanding of basic Vitaceae leaf characters and of leaf shape evolution. We found that although the primordia of both the simple- and compound-leafed species shared a fundamental plan that would be predicted to result in a mature complex leaf shape at the outset, their developmental trajectory diverges early in development. We also identified key morphological landmarks that suggest homology between the two species. Based on current phylogenetic analysis, we discuss how our developmental study likely points to homologies that reflect their recent common ancestry despite the morphological disjunct observed in the genus.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.753

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 head0.023
GPT teacher head0.206
Teacher spread0.183 · 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

Citations13
Published2013
Admission routes2
Has abstractyes

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