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Record W2098374803 · doi:10.1080/01140671.2005.9514342

<i>Bacillus thuringiensis</i> as a marker for insect dispersal studies

2005· article· en· W2098374803 on OpenAlexaff
P.J. Wigley, V. V. Madhusudhan, P.J. Cameron, A. H. Broad Well

Bibliographic record

VenueNew Zealand Journal of Crop and Horticultural Science · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pheromone Research and Control
Canadian institutionsRoyal Columbian Hospital
Fundersnot available
KeywordsBacillus thuringiensisSubspeciesPhthorimaea operculellaBiologyBiological dispersalLepidoptera genitaliaBotanyPEST analysisPetri dishInsectHorticultureGelechiidaeEcologyMicrobiologyPopulationBacteria

Abstract

fetched live from OpenAlex

Abstract Laboratory studies confirmed that commercial formulations of Bacillus thuringiensis (Bt) could be used to mark potato tuber moths, Phthorimaea operculella . Moths were successfully marked by direct application or through indirect acquisition by contact with marked surfaces such as a leaf or a Petri dish. Marked moths were identified by the distinctive crystalline morphology of different subspecies of Bt, allowing the separation of individual moths marked with either Btk ( kurstaki ) or Bti ( israelensis ) . A simple microbiological method for processing the trapped moths before definitive, microscopic identification of the subspecies is described. Field marking was verified by capturing light brown apple moths, Epiphyas postvittana , from areas that had been subjected to large‐scale spraying of Btk for control of an exotic pest species. Btk was also detected in moths from isolated traps at c. 1 km from the treated area, but not in moths from traps at greater distances. These results indicate that Bt preparations could be used to mark naturally occurring populations as well as laboratory‐reared individuals to study their dispersal.

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 categoriesnone
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 score0.527
Threshold uncertainty score0.329

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 communication0.0000.001
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 head0.025
GPT teacher head0.280
Teacher spread0.255 · 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
Published2005
Admission routes1
Has abstractyes

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