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Record W4416991532 · doi:10.1515/9780691261454

Moths of Western North America

2025· book· W4416991532 on OpenAlexaboutno aff
Seabrooke Leckie

Bibliographic record

VenuePrinceton University Press eBooks · 2025
Typebook
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsWestern europeRange (aeronautics)Identification (biology)Variety (cybernetics)Species identificationKey (lock)

Abstract

fetched live from OpenAlex

The first photographic field guide to present the moths of western North America as they are found in nature, making it easy to use for novices and experts alike Western North America is home to a surprising array of moth species that come in a variety of colors and sizes. This richly illustrated field guide covers 1,900 of the most commonly occurring species in the region, from the United States–Mexico border north to Edmonton, Alberta, and central British Columbia. Images on the full-color plates are marked with arrows to help users quickly know the most important features to look for, while facing-page species accounts highlight these features and, when applicable, how they differ from those of similar species. Whether you are a beginning moth enthusiast or a seasoned observer in the field, Moths of Western North America is the ultimate photographic guide to these marvelous insects. Covers 1,900 of the most common species in western North America Features more than 2,000 spectacular color photos of live specimens, at rest, including examples of variations and sexual dimorphism where present Species accounts describe key identification features and include information on caterpillar host plants, the time of year in which adults may be found, and the probability of encountering each species Includes a range map for each species Provides invaluable tips for newcomers on how to get started observing moths

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.982
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.013
GPT teacher head0.205
Teacher spread0.192 · 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 designNot applicable
Domainnot available
GenreOther

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

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