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Record W2287678881

History, characteristics and chemistry of a nature's sweetener, Stevia (Stevia rebaudiana Bertoni)

2007· article· en· W2287678881 on OpenAlexaboutno aff
Sunanda Singh, Ritesh Soni, Ravinder Kumar

Bibliographic record

Venue˜The œIndian Journal of Crop Science/˜The œIndian journal of crop science · 2007
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsStevia rebaudianaSteviaSteviosideRebaudioside APerennial plantSucroseHerbHorticultureTraditional medicineBotanyShrubBiologyFood scienceMedicineMedicinal herbs
DOInot available

Abstract

fetched live from OpenAlex

Stevia is a small shrub of North Eastern Paraguay and adjacent of Brazil. It attains height of 80 to 120 cm and grow well in sandy and acidic soils. At global level, it is mainly distributed in Southern United States and Mexico to Argentina, Chile and highlands of Brazil. It consist of 150–200 species of herbs, perennial herbs are diploids or polyploids with x =11 or 12. Stevia is an obligate short day plant belongs to family Asteraceae. Since its seeds have low germination, therefore, may be propagated commercially by cutting and micropropagation. The plant is affected by Septoria steviae disease observe in British Columbia and Ontario Canada. Stevia consist of stevioside (glycosides content) which is 150 to 300 times sweeter than sucrose, the other fragment of glycoside rebaudioside-A and D are 50 to 120 times more sweetener than sucrose. Stevia may be used in the form of dry leaves, dry leaves powder, tablets and also in crystal forms. It has zero calorie energy therefore, its products have medicinal properties and useful for the peoples suffering from diabetes, hypoglycemia, blood pressers, hypertension, etc. It is indicated as antigen for obesity reduces, heartburn and hypertension. It may also be utilized for industrial and household usage, mainly in soft drink and beverage sector and in Indian typical dishes.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
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 score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.012
Scholarly communication0.0010.001
Open science0.0040.000
Research integrity0.0000.002
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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

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

Explore more

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