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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 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

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 (<i>Hedysarum boreale</i> 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.036
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