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Record W2165896212 · doi:10.2307/4135492

A reexamination of the taxonomic boundaries of <i>Symphysia</i> (Ericaceae)

2004· article· en· W2165896212 on OpenAlexaff
S. P. Vander Kloet, Jennifer L. Baltzer, Julia H. Appleby, Rodger C. Evans, Donald T. Stewart

Bibliographic record

VenueTaxon · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsUniversity of TorontoAcadia University
Fundersnot available
KeywordsBiologyCladeVacciniumBotanySensuGenusTaxonEricaceaeCladisticsPhylogenetic treeSister groupZoology

Abstract

fetched live from OpenAlex

Abstract DNA sequence data were generated for the nuclear ITS region for Symphysia racemosa and for 26 additional Vaccinieae representing 12 sections in the genus Vaccinium plus one species from each of five additional segregate genera. Our focus is on the placement of S. racemosa relative to Vaccinium sensu stricto and Vaccinium sect. Oreades (represented by V. poasanum ). Maximum parsimony analysis of 608 bp of nrITS region suggests that S. racemosa and V. poasanum form a well­supported clade in spite of substantial morphological divergence. Furthermore, this clade is a sister group to a clade consisting of all segregate genera examined. These molecular results led us to undertake a morphological cladistic analysis of all of the other Central American green­flowered taxa. We suggest that the genus Symphysia should be expanded to encompass these 15 taxa, despite the lack of phylogenetic resolution within this group. This will necessitate eight new combinations, viz., Symphysia almedae (= V. almedae ), Symphysia costaricensis (= V. costaricense ), Symphysia jefensis (= V. jefense ), Symphysia orosiensis (= V. orosiense ), Symphysia ovata (= Lateropora ovata ), Symphysia perardua (= V. santafeënsis ), Symphysia poasana (= Vaccinium poasanum ), Symphysia santafeënsis (= L. santafeënsis ), and Symphysia tubulifera (= L. tubulifera ).

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 score0.866
Threshold uncertainty score0.122

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 head0.012
GPT teacher head0.158
Teacher spread0.146 · 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
Published2004
Admission routes1
Has abstractyes

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