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Record W2778901166 · doi:10.22543/0090-0222.1926

Annotated List of Ontario Lepidoptera, by J. C. E. Riotte. 1992. Royal Ontario Museum, Publications in Life Sciences, Miscellaneous Publication. Royal Ontario Museum, 100 Queen's Park, Thronto, Ontario, Canada M5S 2C6. 208 pp. Soft cover, 15 x 22.5 cm. ISBN 0-88854-397-2. $19.95 Canadian (about $16.00 U.S.)

2017· article· en· W2778901166 on OpenAlexaffabout
Eric H. Metzler

Bibliographic record

VenueThe Great Lakes Entomologist · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsLepidoptera genitaliaQueen (butterfly)FaunaLibrary scienceHistoryGenealogyBiologyArchaeologyEcologyComputer science

Abstract

fetched live from OpenAlex

(excerpt) I was eager to review this publication. When I was a young person, first starting the pursuit of Lepidoptera, any literature that increased my knowledge was as valuable as the specimens I collected. Checklists were especially welcome. A primary purpose for the formation of The Ohio Lepidopterists society was to record the occurrence of Lepidoptera in Ohio. My ardent commitment to document Ohio's fauna over the past 20 years gives me insight into the work necessary to create and produce a publication of this type.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.778
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2970.158

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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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 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
Published2017
Admission routes2
Has abstractyes

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