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Record W650751577 · doi:10.1303/jjaez.2004.321

Daily Flight, Feeding and Calling Activities of Four Plusiine Moths, Autographa nigrisigna, Thyanoplusia intermixta, Ctenoplusia agnata and Chrysodeixis eriosoma (Lepidoptera: Noctuidae).

2004· article· en· W650751577 on OpenAlexaff
Hisatomo Taki, Masashi Nomura

Bibliographic record

VenueJapanese Journal of Applied Entomology and Zoology · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyNoctuidaeLepidoptera genitaliaTachinidaeDarknessZoologyEcologyBotanyHymenopteraParasitoid

Abstract

fetched live from OpenAlex

In general, plusiine moths actively begin flying from dusk and feeding and calling activities have been clearly discussed in many reports. We examined daily behaviors, specifically, flight, feeding and calling activities of the plusiine moths, Autographa nigrisigna, Thysanoplusia intermixta, Ctenoplusia agnata and Chrysodeixis eriosoma, which are major pests of various commercial crops in the Kanto region of Japan. Daily flight activities were tested with an actograph system in the laboratory. The insects showed pronounced flight activity soon after the lights were turned off, during darkness and after the lights were turned on. Of specific interest is that during darkness, C. eriosoma showed high flight activity earlier than the other three species. We also observed daily feeding and calling activities, and found these two activities were synchronized with flight activity. We conclude that patterns of calling and associated flights are not the same for all plusiine species although most adults of the Plusiinae fly actively during darkness.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.199
Teacher spread0.183 · 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 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

Citations7
Published2004
Admission routes1
Has abstractyes

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