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Record W2061302511 · doi:10.1139/b07-022

An updated estimate of intergeneric phylogenetic relationships in the Australian VitaceaeThis article is one of a selection of papers presented at the symposium on<i>Vitis</i>at the XVII International Botanical Congress held in Vienna, Austria, in 2005.

2007· article· en· W2061302511 on OpenAlexvenueno aff
Maurizio Rossetto, Darren M. Crayn, Betsy R. Jackes, Carolyn Porter

Bibliographic record

VenueCanadian Journal of Botany · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
FundersUniversity of New South Wales
KeywordsVitaceaeBiologyGenusMonophylyTaxonCladeBotanyParaphylyPhylogenetic tree

Abstract

fetched live from OpenAlex

Previous molecular studies have suggested that the genus Cissus (Vitaceae) is not monophyletic. The majority of species are grouped, but four Australian taxa ( Cissus antarctica Vent., Cissus hypoglauca A. Gray, Cissus oblonga (Benth.) Planch., and Cissus sterculiifolia (F. Muell. ex Benth.) Planch.) form a distinct clade and Cissus opaca has now been recognized as belonging to the genus Clematicissus ( Clematicissus opaca (F. Muell.) Jackes &amp; Rossetto). Here, we investigate relationships among the Australian Vitaceae by parsimony and Bayesian analysis of plastid trnL-trnF and nuclear internal transcribed spacer sequences and include a range of taxa that had not been previously investigated. We find no support for a close relationship between Nothocissus and the four distinct Australian Cissus, as suggested in previous morphology-based treatments. We find a robust sister relationship between Clematicissus and at least two southern American Cissus ( Cissus tweediana (Baker) Planch. and Cissus striata Ruiz &amp; Pav.), suggesting a possible origin from an ancient southern progenitor. Finally, this study confirms the paraphyletic nature of Cayratia , with species occurring in two clades, both with Australian and non-Australian species. The necessity in future studies for data from additional and more tractable nuclear loci is also noted.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.239
Teacher spread0.211 · 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

Citations35
Published2007
Admission routes1
Has abstractyes

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