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Record W4318355248 · doi:10.1039/bk9781849731492-00248

Needles in the Haystack: Exploring Chemical Diversity of Botanical Insecticides

2011· book-chapter· en· W4318355248 on OpenAlexaff
Murray B. Isman, Gretchen Paluch

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHaystackAgrochemicalPest controlResource (disambiguation)Integrated pest managementPEST analysisFunction (biology)BiologyAgroforestryToxicologyAgricultureEcologyBotanyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Prior to the discovery of DDT, botanical insecticides – those prepared directly from plants – represented the majority of pest control products in the farmer's arsenal. Then with the spectacular growth of the agrochemical industry, botanicals were all but trivialized in the pest management marketplace. Research in the field of natural products chemistry indicates that terrestrial plants represent a vast, largely untapped resource with respect to novel chemistry, much of which is presumed to have an ecological function. Many scientists have used these facts to justify the ongoing search for new insecticides derived from plants, even though the actual number of commercially viable botanical insecticides is very small. In this chapter we review the current status of botanical insecticides, their mechanisms of action against pest insects, and the challenges to developing and commercializing new 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.008

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 head0.128
GPT teacher head0.201
Teacher spread0.073 · 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 designObservational
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

Citations6
Published2011
Admission routes1
Has abstractyes

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