MétaCan
Menu
Back to cohort
Record W4281658721 · doi:10.1002/jez.b.23165

Evaluating old truths: Final adult size in holometabolous insects is set by the end of larval development

2022· article· en· W4281658721 on OpenAlexaff
Lisa Hanna, Tom Lamouret, Gonçalo M. Poças, Christen K. Mirth, Armin P. Moczek, H. Frederik Nijhout, Ehab Abouheif

Bibliographic record

VenueJournal of Experimental Zoology Part B Molecular and Developmental Evolution · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsMcGill University
FundersNational Science Foundation
KeywordsBiologyInsectLarvaLepidoptera genitaliaZoologyManduca sextaMetamorphosisEcologyDrosophila melanogaster

Abstract

fetched live from OpenAlex

For centuries, it has been understood that the final size of adult holometabolous insects is determined by the end of the larval stage, and that once they transform to adults, holometabolous insects do not grow. Despite this, no previous study has directly tested these "old truths" across holometabolous insects. Here, we demonstrate that final adult size is set at the end of the last larval stage in species representing each of the four orders of holometabolous insects: the fruit fly Drosophila melanogaster (Diptera), the tobacco hornworm Manduca sexta (Lepidoptera), the dung beetle Onthophagus taurus (Coleoptera), and the Florida carpenter ant Camponotus floridanus (Hymenoptera). Furthermore, in both D. melanogaster and C. floridanus, we show that the size of adult individuals fluctuates but does not significantly change. Therefore, our study finally confirms these two basic assumptions in the biology of insects, which have for centuries served as the foundation for studies of insect growth, size, and allometry.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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 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

Citations18
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Experimental Zoology Part B Molecular and Developmental EvolutionSame topicInsect and Arachnid Ecology and BehaviorFrench-language works237,207