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Record W2521798895 · doi:10.3897/phytokeys.70.9053

Molecular and morphological evidence for recognition of two species within Harpagonella (Amsinckiinae, Boraginaceae)

2016· article· en· W2521798895 on OpenAlexfundno aff
C. Matt Guilliams, Timothy J. Jang, Bruce G. Baldwin

Bibliographic record

VenuePhytoKeys · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
FundersMcGill UniversityAmerican Society of Plant TaxonomistsUniversity of California Institute for Mexico and the United StatesNational Science Foundation
KeywordsBoraginaceaeTaxonCalyxBiologyGenusTaxonomy (biology)BotanyZoologyGeography

Abstract

fetched live from OpenAlex

Recent taxonomic treatments of the genus Harpagonella have included only one lower taxon, H. palmeri A. Gray. However, a larger-fruited variety of H. palmeri from Arizona and Sonora was described by I.M. Johnston in 1924. He continued to recognize this taxon – H. palmeri var. arizonica – in his treatment of the genus in Kearney and Peebles’s Arizona Flora in 1960. Here, we provide two lines of molecular evidence and quantitative morphological evidence from calyx characters showing that plants of Harpagonella from Arizona, Sonora, and central Baja California, corresponding to Johnston’s var. arizonica, are distinct from H. palmeri of southern California and Baja California. We make the new combination Harpagonella arizonica (I.M. Johnston) Guilliams & B.G. Baldwin, comb. nov. for the plants from Arizona, Sonora, and central Baja California.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.096
GPT teacher head0.255
Teacher spread0.158 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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