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Record W2221984211 · doi:10.1600/036364415x689997

A Taxonomic Conspectus of <I>Ceanothus</I> subgenus <I>Cerastes</I> (Rhamnaceae)

2016· article· en· W2221984211 on OpenAlexaff
Dylan O. Bürge, Katherine Zhukovsky, Dieter H. Wilken

Bibliographic record

VenueSystematic Botany · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRhamnaceaeSubgenusBiologyTaxonomy (biology)Botany

Abstract

fetched live from OpenAlex

Abstract The diverse New World shrub genus Ceanothus (Rhamnaceae) is made up of two deeply divergent, reciprocally monophyletic groups that are treated as subgenera in most recent systematic and flora treatments, Ceanothus subgenus Cerastes, and Ceanothus subgenus Ceanothus. The two groups are phylogenetically divergent and appear to have simultaneously diversified in western North America, particularly the California Floristic Province. Ceanothus subgenus Cerastes is easily distinguished from Ceanothus subgenus Ceanothus by its sclerophyllous (versus thin) leaves, stomata sequestered in pits (versus on the leaf surface), and swollen (versus papery) stipules. Low levels of genetic divergence among species, combined with highly variable, intergrading morphology makes taxonomic work in Ceanothus subgenus Cerastes difficult. To aid research in this diverse and ecologically important group of plants, we present a taxonomic conspectus of Ceanothus subgenus Cerastes, including formal recognition of Cerastes at the rank of subgenus, and recognition of all infraspecific taxa at the rank of variety. We discuss problems with defining taxa in Ceanothus subgenus Cerastes, and call attention to the need to distinguish between the subgenera in Ceanothus research. Twenty-five species and 10 varieties are recognized in Ceanothus subgenus Cerastes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.016
GPT teacher head0.185
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2016
Admission routes1
Has abstractyes

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