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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 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 score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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; 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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueИзвестия Национальной академии наук Беларуси. Серия биологических наукSame topicBotanical Studies and ApplicationsFrench-language works237,207