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Record W2391327110

Effect of Seed-coat Color on Seed Quality of Glycyrrhiza uralensis Fisch

2007· article· en· W2391327110 on OpenAlexvenueno aff
Sun Bao-qi

Bibliographic record

VenueSeed · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsGlycyrrhiza uralensisGerminationCoatBiologyHorticultureSignificant differenceBotanyMathematicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

There is difference in seed-coat color of Glycyrrhiza uralensis Fisch.,including black seeds and dark green seeds.To define the useful value of different color seeds and supply reference for seed grading and trading in Glycyrrhiza uralensis Fisch,Three different licorice seeds lot were each divided into two groups(black and dark green seed color).,Thousand-grain weight,seed size,hard seeds rate,germination percentage,vigor index,conducting rate,TTC,ATP and fungi-infected seeds rate were tested and compared.The result showed that seed vigor of dark green seeds in Glycyrrhiza uralensis Fisch.were much better than that of black seeds,which have lower hard seeds rate,germination percentage,vigor index,ATP and TTC,higher conducting rate.Black seeds were also infected by more fungi than the dark green seeds.So quantity of green seeds is obviously superior to black seeds.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.087
GPT teacher head0.472
Teacher spread0.385 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations0
Published2007
Admission routes1
Has abstractyes

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