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Record W2018956912 · doi:10.3759/tropics.16.71

Synthetic Lymantriid Pheromones Attract Male Moths of Lymantria spp. (Lepidoptera: Lymantriidae) in Sumatra.

2007· article· en· W2018956912 on OpenAlexaff
Paul W. Schaefer, Naoto Kamata, Nusyirwan Hasan, Gerhard Gries, Regine Gries, Idrus Abbas, Siti Salmah, Dahelmi Dahelmi, Ahsol Hasyim

Bibliographic record

VenueTropics · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSex pheromoneLepidoptera genitaliaPheromoneBiologyZoologyBotany

Abstract

fetched live from OpenAlex

Pheromone components previously identified in various lymantriid moths were field tested in a trapping experiment near Padang, West Sumatra, Indonesia. Each of ten experimental replicates, consisting of four sticky traps, were deployed in complete randomized block and baited with one of four synthetic pheromone lures. Most interesting results include: (1) significant captures of male Lymantria brunneiplaga in traps baited with (+)- and (-)-xylinalure [(7R,8S)- and (7S,8R)-cis-7,8 epoxy-2-methyleicosane]; and (2) capture of male Lymantria subrosea singapura in traps baited with (+)-disparlure [(7R,8S)-cis-7,8-epoxy-2-methyloctadecane], (+)-monachalure [(7R,8S)-cis-7,8-epoxy-octadecane] and 2-methyl-Z7-octadecene. These results will allow an improve pheromone-based monitoring of L. brunneiplaga and L. subrosea singapura, respectively. Future studies should attempt to obtain virgin female moths of respective species for thorough laboratory analyses and field testing of candidate pheromone components. Males of L.beatrix (2) and Lymantria narindra (1) also responded to (+)-disparlure baited traps.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.223
Teacher spread0.208 · 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.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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