MétaCan
Menu
Back to cohort
Record W2321275354 · doi:10.20286/nova-jmbs-030459

Buckwheat as Valuable Feed and Food Resource

2014· article· en· W2321275354 on OpenAlexvenueno aff
Nguyễn Thị Ngọc Linh, Do Vo Anh Khoa, Veronika Halas

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed and Plant Biochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsResource (disambiguation)BusinessComputer science

Abstract

fetched live from OpenAlex

Buckwheat plant ( Fgopyrum escu1entum moench) is a great nutritive source for human and animals because it contains a high level of essential amino acids, minerals and B vitamins as compared with other cereals. It can grow and survive in harsh natural condition, even with a low amount of fertilizer. Buckwheat is also referred as a good antioxidant source. Although it contains allergens and has low digestibility due to high fiber content and some anti-nutritive factors in grain, Buckwheat can provide valuable nutrients to support human and animal health. It may successfully replace other cereals in human food and animal feed when facing with the change condition of climate in the future. In the coming section the buckwheat as a potential feedstuff is introduced in detail.

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)0.000
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.056
GPT teacher head0.258
Teacher spread0.201 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueNova Journal of Medical and Biological SciencesSame topicSeed and Plant BiochemistryFrench-language works237,207