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Record W2607398585 · doi:10.1007/s11284-017-1454-3

Efficacy of botanical extracts from Brazilian savannah against <i>Diabrotica speciosa</i> and associated bacteria

2017· article· en· W2607398585 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEcological Research · 2017
Typearticle
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsUniversity of Waterloo
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsAntimicrobialPhytochemicalBiologyContext (archaeology)BacteriaPesticidePsidiumTraditional medicineBotanyMicrobiologyEcology

Abstract

fetched live from OpenAlex

Abstract Botanical extracts are a plentiful resource of molecules with different biological activities, such as insecticides and antimicrobial pesticides. In this context, the aim of this work was to evaluate the efficacy of botanical extracts from the Brazilian savannah against Diabrotica speciosa and bacterial strains isolated from the gut of this insect under aseptic conditions. The bacterial isolates were identified by genomic and proteomic approaches, and bioassayed against eighteen botanical extracts in vitro. The best results of bacterial inhibitions were obtained for the extracts of Casearia sylvestris and Psidium laruotteanum . Fractions of C. sylvestris and P. laruotteanum, quantitatively evaluated by chromatographic analyses, showed a relationship between the bactericidal activity and phytochemical profile. In vivo assays showed that P. laruotteanum was also effective for the control of D. speciosa . Those results show that selected natural products can have both antimicrobial and insecticidal activities.

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.

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)0.001
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
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 science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.097
GPT teacher head0.367
Teacher spread0.270 · 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