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Biological Activity and Applications of Natural Compounds

2020· book· en· W3165281451 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaCabildo de TenerifeLaboratório Associado para a Química VerdeConselho Nacional de Desenvolvimento Científico e TecnológicoGyeonggi-do Regional Research CenterNational Research Foundation of KoreaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorNational Research FoundationEuropean Regional Development FundUniversity of British ColumbiaEuropean CommissionUniversidad de La LagunaUniversidade de AveiroRede de Química e TecnologiaFundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico
KeywordsNatural (archaeology)ReuseBiochemical engineeringPromotion (chess)Field (mathematics)Computer scienceData scienceManagement scienceNanotechnologyEngineering ethicsEngineeringBiologyPolitical scienceMaterials scienceMathematics

Abstract

fetched live from OpenAlex

Nature represents an amazing source of inspiration, since it produces a great diversity of natural compounds selected by evolution, which exhibit multiple biological activities and applications. A large and very active research field is dedicated to identifying biosynthesized compounds, to improve/develop new methodologies, to produce/reuse natural compounds, and to assess their potential for pharmaceutical, cosmetic and food industries, among others, and additionally, to understand their mechanism of action. This book is dedicated to presenting the most recent results on the development of natural compounds’ applications. Ten original research works, organized by applications, and two reviews are included. Each of them contributes to the knowledge advance, insofar as they present new applications for known products, new methodologies to obtain new products, or the evaluation of a given application, with the applications related to health promotion being the most frequently considered. These works are significant contributions and reinforce the dynamic field of natural products’ applications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.242
Teacher spread0.212 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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