MétaCan
Menu
Back to cohort
Record W1972514177 · doi:10.1111/azo.12041

Compound <scp>E</scp>ye <scp>M</scp>iniaturization in <scp>L</scp>epidoptera: a comparative morphological analysis

2013· article· en· W1972514177 on OpenAlexaff
Stefan Fischer, Victor Benno Meyer‐Rochow, Carsten H. G. Müller

Bibliographic record

VenueActa Zoologica · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAppositionCompound eyeSuperposition principleBiologyAnatomyOpticsPhysics

Abstract

fetched live from OpenAlex

Abstract Superposition and apposition compound eyes are commonly associated with moths and butterflies, respectively. However, recently intermediate eye designs, combining features of both apposition and superposition eyes were found in tiny insects. Here, we examine the eyes of 12 species of moth, ranging from 1.88 to 6.03 mm body size, by scanning and transmission electron microscopy. Correlations between body and eye sizes are discussed with regard to the eyes' functionality. Although all of the species shared an ommatidial organization characteristic of pterygote insects, three optical designs were found: (a) an apposition eye, (b) an eye resembling apposition eyes, but with a unique crystalline cone, and (c) an eye intermediate in structure between apposition and superposition eyes. Our comparisons also revealed a new type of basal matrix for the Lepidoptera. The results show that in most of the examined compound eyes (with the exception of the apposition eye of M icropterix aruncella ), a clear distinction between apposition and superposition eyes is not feasible. Due to functional morphological constraints as a consequence of miniaturization, evolutionary transformations from superposition into apposition optics may have occurred several times independently in various ‘microlepidopteran’ taxa. The P hyllonorycter medicaginella eye appears to illustrate this evolutionary scenario best.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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

Citations44
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueActa ZoologicaSame topicInsect and Arachnid Ecology and BehaviorFrench-language works237,207