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Record W3011276360

НОВЫЙ СПОСОБ ЭКСТРАКЦИИ КАРОТИНОИДОВ ИЗ СОЦВЕТИЙ ЗОЛОТАРНИКА КАНАДСКОГО (SOLIDAGO CANADENSIS L.) ДЛЯ СОЗДАНИЯ ПРЕПАРАТОВ С АНТИОКСИДАНТНЫМИ СВОЙСТВАМИ

2016· article· ru· W3011276360 on OpenAlexaboutno aff
Н. А. Копылова, Н. А. Ламан

Bibliographic record

VenueИзвестия Национальной академии наук Беларуси. Серия биологических наук · 2016
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicBotanical Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSolidago canadensisRaw materialCarotenoidCastor oilExtraction (chemistry)BotanyFood scienceChemistryBiologyChromatographyOrganic chemistryInvasive species
DOInot available

Abstract

fetched live from OpenAlex

The extracting properties of various organic solvents is studied. The significance of using a mixture of castor oil with 96% ethanol for a more complete extraction of carotenoids from plant material and to create inexpensive environmentally safe anti-inflammatory drug with antioxidant properties is established. It is suggested to use Canadian goldenrod blossoms as unlimited raw resource, to reduce the spread of this extended invasive species.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient 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 score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.004
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0060.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0190.010

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 head0.024
GPT teacher head0.224
Teacher spread0.200 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

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