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Record W2163592563

La biosynthèse des isoprenoides chez les pucerons: une cible potentielle de nouveaux bio-insecticides?

2008· article· en· W2163592563 on OpenAlexaff
Sophie Vandermoten, Michel Cusson, Frédéric Francis, Éric Haubruge

Bibliographic record

VenueOpen Repository and Bibliography (University of Liège) · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsBiology
DOInot available

Abstract

fetched live from OpenAlex

Isoprenoid metabolism in aphids: a new target for bio-insecticides development? Currently, the control of aphids is largely dependent on the use of broad-spectrum chemical insecticides. Their adverse effects on the environment, combined with the ability of insects to quickly develop resistance to them, has prompted a search for alternative control products. One of the approaches currently under consideration involves the design of novel bio-rational insecticides targeting and disrupting specific biochemical processes in the insect. As a result of their high specificity, these pest control products generally present little risk to the environment, non-target organisms and human health. In the context of aphid control, isoprenoid metabolism and, more specifically, enzymes of the short-chain isoprenyl diphosphate synthases family constitute promising targets for the development of new control products. Indeed, in aphids, isoprenoid metabolism is associated with the production of mono- and sesquiterpenes, which are compounds playing important roles in the physiology of these insects.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.206
Teacher spread0.192 · 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 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

Citations3
Published2008
Admission routes1
Has abstractyes

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