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Record W4400106114 · doi:10.18473/lepi.78i2.a1

Patterns in Food Resource Use by Butterflies in an Experimental Macrocosm

2024· article· en· W4400106114 on OpenAlexaffabout
André‐Philippe Drapeau Picard, Fabrice Dion-Ferrara, Thierry Boislard, Michel Saint‐Germain

Bibliographic record

VenueJournal of the Lepidopterists’ Society · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsEspace pour la vie
Fundersnot available
KeywordsResource (disambiguation)GeographyComputer science

Abstract

fetched live from OpenAlex

As adults, some butterflies can feed on a variety of nectar plants and are considered generalists, while other species feed on or show preferences for a limited number of food sources. In butterfly houses, butterflies provisioned with sufficient nectar are expected to live longer and have better health. The Montreal Insectarium Grand Vivarium (MIGV) was used as an experimental macrocosm to study the feeding preferences of 21 butterfly species. We ask the question ‘Do the butterflies of the MIGV show feeding preferences?’ We measured niche breadth in terms of feeding and explored associations between butterfly species and natural and artificial nectar sources. Our results show that some butterflies in the MIGV are generalists, visiting up to eight plant species, while others feed only on one or a few. On the other hand, no plant species was visited by all butterfly species. Some flowers were visited by up to 12 species of butterflies, while others by only a few. Some heliconiine species displayed feeding behavior known to occur in the wild. Together, these results contribute to a better understanding of butterfly ecology in controlled environments and highlight the importance of diverse nectar resources for butterfly welfare in museum settings.

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 score0.579
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.044
GPT teacher head0.240
Teacher spread0.197 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

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