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Record W2569091278

Сравнительный анализ накопления каротиноидов в хвое

2014· article· ru· W2569091278 on OpenAlexaboutno aff
Титова Марина Сергеевна

Bibliographic record

VenuePacific Medical Journal · 2014
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCarotenoidBotanyPigmentBiologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Considering the role of carotenoids in the physiological processes, an urgent issue for the modern pharmaceutical science is providing preventive medicines based on these elements. In this connection it is interesting to study the carotenoid content in the needles of various representatives of alien and native conifers in Primorsky region. Methods. To assess the conifers’ biological potential in terms of the source of carotenoids the authors studied the annual dynamics in magnification of these pigments in the two-year needles of 17 conifers growing in the arboretum at Gornotaezhnaya station of FEB RAS. The number of carotenoids was determined by spectrophotometry. Results. Analysis of the magnification of carotenoids in the two-year needles of native species allows to select the conifers with high content of the researched pigment: Japanese red pine 0.32 mg/g, Korean pine 0.29 mg/g, Labrador pine 0.29 mg/g, Colorado spruce 0.28 mg/g, needle fir, Siberian cedar, Koyama spruce, Ajan spruce 0.27 mg/g of green weight each. Conclusions. The data received expand understanding of the carotenoids synthesis of conifers as well as possibilities of using needles as an additional source of vitamins, food supplements and colorings.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0230.003

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 head0.203
Teacher spread0.189 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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