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Record W2094260355 · doi:10.1021/jf900274r

Comparative Toxicity of Essential Oils of Litsea pungens and Litsea cubeba and Blends of Their Major Constituents against the Cabbage Looper, Trichoplusia ni

2009· article· en· W2094260355 on OpenAlexaff
Zhili Jiang, Yasmin Akhtar, Rod Bradbury, Xing Zhang, Murray B. Isman

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsUniversity of British Columbia
FundersU.S. Food and Drug AdministrationNorthwestern University
KeywordsCabbage looperTrichoplusiaLauraceaeBiologyBotanyTraditional medicineChemistryMedicine

Abstract

fetched live from OpenAlex

Contact toxicity of essential oils of Litsea pungens Hemsl. and L. cubeba (Lour.) Pers. (Lauraceae) and of blends of their major constituents was assessed against third-instar Trichoplusia ni larvae via topical application. Both oils showed moderate activity against T. ni larvae with LD(50) values of 87.1 and 112.5 microg/larva, respectively. 1,8-Cineole from the essential oil of L. pungens and gamma-terpinene from the oil of L. cubeba accounted for much of the toxicity of the oils to T. ni larvae. The toxicity of blends of selected constituents indicated a synergistic effect among putatively active and inactive constituents, with the presence of all constituents necessary for full toxicity of the natural oils. The results show that essential oils of L. pungens and L. cubeba and some of their constituents have potential for development as botanical insecticides.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.012
GPT teacher head0.209
Teacher spread0.198 · 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

Citations187
Published2009
Admission routes1
Has abstractyes

Explore more

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