MétaCan
Menu
Back to cohort

Subspecies of Rosa nutkana and R. woodsii (Rosaceae) in Western North America

2007· article· es· W2178486680 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNovon A Journal for Botanical Nomenclature · 2007
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRosaceaeSubspeciesBiologyBotanyBotánicaZoology

Abstract

fetched live from OpenAlex

Three subspecies of Rosa nutkana C. Presl and five of R. woodsii Lindley are recognized in western Canada and the United States, including four changes in combination and/or status: Rosa nutkana subsp. melina (Greene) W. H. Lewis & Ertter, R. woodsii subsp. arizonica (Rydberg) W. H. Lewis & Ertter, R. woodsii subsp. manca (Greene) W. H. Lewis & Ertter, and R. woodsii subsp. gratissima (Greene) W. H. Lewis & Ertter. Rosa nutkana subsp. melina and R. woodsii subsp. manca occur at high elevations of the southern Rocky Mountains and Colorado Plateau of Colorado and Utah with outlying populations in Arizona, Idaho, New Mexico, and Wyoming; R. woodsii subsp. arizonica is found at lower elevations of Arizona and the Colorado Plateau; and R. woodsii subsp. gratissima occurs in the mountains surrounding the Mojave Desert and southern Great Basin of California and Nevada, with its variety glabrata (Parish) D. Cole confined to the San Bernardino Mountains of California. Synonyms are provided for appropriate subspecies, 14 lectotypes and one neotype are designated here, and selected exsiccatae are given for newly recognized subspecies. The following names are lectotypified: Rosa bakeri Rydberg, nom. illeg., R. californica Chamisso & Schlechtendal var. ultramontana S. Watson, R. deserta Lunell, R. fendleri Crépin, R. macounii Greene, R. maximiliani Nees, R. megalantha G. N. Jones, R. neomexicana Cockerell, R. nutkana var. alta Suksdorf, R. nutkana var. hispida Fernald, R. nutkana var. pallida Suksdorf, R. rainierensis G. N. Jones, R. spaldingii Crépin ex Rydberg, and R. subnuda Lunell. One neotype is designated: Rosa woodsii Lindley.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.279
Teacher spread0.257 · 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