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Record W4415531685 · doi:10.1101/2025.10.23.684241

Rediscovery and Ecology of the Capulin Mountain Alberta Arctic Butterfly: Informing Data Collection for Rare Endemics

2025· preprint· W4415531685 on OpenAlexaboutno aff
Simon M Doneski, Quinlyn Baine, Kelly Ricks, Steven J. Cary, Kelly B. Miller

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
FundersU.S. Fish and Wildlife Service
KeywordsEndemismThreatened speciesHabitatEndangered speciesArcticExtant taxonHabitat conservationButterflyBiodiversity

Abstract

fetched live from OpenAlex

Abstract Insect conservation in the southwestern United States is hindered by limited information on distribution, phenology, and habitat, especially for small-range endemics. The Capulin Mountain Alberta Arctic butterfly ( Oeneis alberta capulinensis F.M. Brown, 1970), a New Mexico Species of Greatest Conservation Need, is restricted to the Raton Mesa Complex and threatened by isolation, low dispersal, and extirpation from its type locality. We surveyed historic and potential sites to document current distribution, refine flight phenology, investigate larval host plant use, and assess habitat condition. Our results confirm extant populations, identify the larval host plant ( Festuca idahoensis Elmer), and describe habitat as montane grasslands with limited woody encroachment. A habitat suitability model predicted additional potentially occupied areas, highlighting under-explored habitat for future monitoring. This study provides the first comprehensive ecological assessment of O. a. capulinensis and establishes a framework for documenting poorly known endemic insects to guide future research and survey design.

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)0.002
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 score0.260
Threshold uncertainty score0.524

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.014
GPT teacher head0.226
Teacher spread0.211 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicLepidoptera: Biology and TaxonomyFrench-language works237,207