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Record W2016529315 · doi:10.2135/cropsci2007.09.0519

Fenugreek, an Alternative Crop for Semiarid Regions of North America

2008· article· en· W2016529315 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCrop Science · 2008
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsUniversity of LethbridgeAgriculture and Agri-Food Canada
Fundersnot available
KeywordsTrigonellaNutraceuticalCropBiologyLegumeAgronomyAgricultureMediterranean climateFodderCeratonia siliquaForageAgroforestryBiotechnologyBotanyEcologyFood science

Abstract

fetched live from OpenAlex

Fenugreek ( Trigonella foenum‐graecum L.) is extensively used as a spice in India and the Mediterranean region and is known to possess a number of medicinal properties. Steroidal sapogenins and mucilaginous fibers present in the seed and leaves of this legume plant contribute to anti‐diabetic and hypocholesterolaemic properties attributed to the plant. In recent years selected genotypes of this species have formed a niche crop that produces high yields of bloat‐free forage that can increase both beef and milk production in semiarid regions of western Canada. Fenugreek genotypes tested in western Canada have demonstrated genetic variability for biomass production and nutraceutical properties indicating that there is much potential for enhancing the properties desired by agricultural and nutraceutical industries in this region. This paper reviews the history, culture and documented medicinal, agronomic and environmental value of fenugreek as well as discusses future potential of this crop for use in semiarid regions of North America.

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)0.000
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 score0.315
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.051
GPT teacher head0.320
Teacher spread0.269 · 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