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Record W2002342598 · doi:10.1159/000113192

The Closed-Loop Nature of the Tymbal Response in the Dogbane Tiger Moth, Cycnia tenera (Lepidoptera, Arctiidae)

2008· article· en· W2002342598 on OpenAlexaff
Mark A. Northcott, James H. Fullard

Bibliographic record

VenueBrain Behavior and Evolution · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsAurora CollegeUniversity of Toronto
Fundersnot available
KeywordsHuman echolocationTeneraBiologyMyotis lucifugusSound productionStimulus (psychology)ZoologyAcousticsPsychologyNeurosciencePhysics

Abstract

fetched live from OpenAlex

The dogbane tiger moth, Cycnia tenera, emits ultrasonic sounds by rhythmically buckling a pair of tymbals when stimulated by pulsed sounds resembling bat echolocation. We monitored the central pattern generator governing this response by recording the motor output of the tymbal branch of the metathoracic leg nerve. The rhythm of the tymbal motor pattern can be altered midway (500 m/sec from its initiation) by changing the period and, to a lesser degree, the intensity of the stimulus. The tymbal response of C. tenera is therefore closed-looped to stimulus pulse period and intensity. Our results suggest that C. tenera relies less on the changes in an attacking bat's echolocation intensity when responding with this behaviour because this acoustic parameter may be a more unreliable indicator of the proximity of the bat than its echolocation call period.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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 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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