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Record W4380047866 · doi:10.59783/aire.2023.28

Moth Luna (Actias luna)

2023· article· en· W4380047866 on OpenAlexaboutno aff
Alisa Kavalerskaia, Evgenia Kazachkova, Nataša Nikolić-Lukovska, Nela Marinović

Bibliographic record

VenueAIDASCO Reviews · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSaturniidaeLepidoptera genitaliaDozenGeographyBiologyEcology

Abstract

fetched live from OpenAlex

The Luna moth (Actias luna) is American Moon Moth also known as the Nearctic moth of the family Saturniidae, subfamily Saturniinae, a group recognized as the giant silk moth. The Luna moth is found east of the Great Plains in the United States from Florida to Maine, North America, and Saskatchewan east through central Quebec to Nova Scotia, Canada. Luna moths are rarely found as vagrants in Western Europe. In June 1987, Luna moth appeared on a United States First Class postage stamp. Within two dozen butterflies have been honored in postage stamps, this was the only moth. This remarkable critter is recognizable by its wings. But, the most interesting thing about Luna Moth is that this insect doesn’t have a digestive system or a mouth. It lives only for about a week after leaving the cocoon and never eats.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.072
GPT teacher head0.269
Teacher spread0.196 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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