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Record W4392035632 · doi:10.3368/npj.24.3.272

Notice of Release of ‘Basin’ Utah Sweetvetch

2023· article· en· W4392035632 on OpenAlexaboutno aff
Michael D. Peel, Scott E. Walker, Blair L. Waldron

Bibliographic record

VenueNative Plants Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsNoticeStructural basinEnvironmental scienceGeologyGeomorphologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Utah sweetvetch (Hedysarum boreale Nutt. [Fabaceae]) is a perennial legume native to the Intermountain Region of the western US and Canada. ‘Timp’, the only cultivar of this species, has poor seed production. Here we report the release of ‘Basin’ Utah sweetvetch as a replacement for Timp for use in revegetation of rangelands in the Intermountain Region of the western US. Basin is derived from 3 cycles of recurrent selection for increased seed and forage mass production, and it traces to 16 germplasm sources originating from Alaska, Colorado, Idaho, and Utah. In 3 y of testing, Basin exceeded Timp in seed yield, with 682 compared to 320 kg/ha (608 compared to 285 lb/ac), and in forage biomass at 1263 compared to 659 kg/ha (1126 compared to 588 lb/ac). Crude protein and neutral detergent fiber, measures of forage nutritive value, of Basin were comparable, if not better, than alfalfa. The release of Basin provides seed companies and public and private land managers an improved Utah sweetvetch with increased seed and forage production for revegetation projects in the Intermountain areas of the western US. Specifically, its increased seed production should increase seed availability and thus, reduce the price.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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