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Record W1973110450 · doi:10.5539/jas.v2n3p92

Effects of Nitrogen and Calcium Carbonate on Growth, Rosmarinic Acid Content and Yield of Satureja hortensis L.

2010· article· en· W1973110450 on OpenAlexvenueno aff
Mesbah Babalar, Hasan Mumivand, Javad Hadian, Seyed Mohamad Fakhr Tabatabaei

Bibliographic record

VenueJournal of Agricultural Science · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFlowering Plant Growth and Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsRosmarinic acidYield (engineering)NitrogenChemistryHerbSaturejaHorticultureCalcium carbonateCalciumAntioxidantFood scienceBotanyMedicinal herbsEssential oilBiologyBiochemistryTraditional medicineMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Because of the presence of free phenolic acids, especially rosmarinic acid, extracts of Satureja hortensis L.possess antioxidant and antimicrobial activity. The production of rosmarinic acid by plant cells can be modifiedby many factors. In the present study, the changes induced by calcium carbonate and nitrogen application onrosmarinic acid content, plant growth, and yield of S. hortensis cv. Saturn were investigated. Nitrogenfertilization significantly increased plant height, fresh and dry weights of herb as well as rosmarinic acid contentand yield. CaCO3 treatments did not affect rosmarinic acid content or yield, while the fresh and dry weights ofherb were increased by applying 5 t ha-1 CaCO3.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.191
Teacher spread0.177 · 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 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

Citations39
Published2010
Admission routes1
Has abstractyes

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