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Record W7010168093

The genus Alucita in North America, with description of two new species (Lepidoptera: Alucitidae)

2017· other· en· W7010168093 on OpenAlexaboutno aff

Bibliographic record

VenuereroDoc Digital Library · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodHyporeflexiaFusible alloyDiafiltrationArticular cartilage damageProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

The North American fauna of Alucitidae is shown to include three widespread species: Alucita montana Barnes et Lindsey, 1921 (nec Cockerell), Alucita adriendenisi sp. nov. (type locality: Manitoulin Island, Ontario, Canada), and Alucita lalannei sp. nov. (type locality: Maynooth, Ontario, Canada). Alucita hexadactyla (L., 1758) and A. huebneri Wallengren, 1862 do not occur in North America. The three North American species are described and illustrated. Alucita montana is found from southwestern Quebec and Vermont, west to British Columbia, and south to Arizona, California, and Texas; its caterpillar is associated with Symphoricarpos spp. (Caprifoliaceae). Alucita adriendenisi is known from northwestern Quebec and New York, west to Alberta and the Northwest Territories, with more southern populations (isolated?) in West Virginia, Arizona, and Texas; its caterpillar feeds on flowers of Lonicera dioica L. (Caprifoliaceae) in Michigan. Alucita lalannei has been found in Ontario, Manitoba, and Alberta, Canada; its host plant is unknown

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: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.215
Teacher spread0.195 · 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
Published2017
Admission routes1
Has abstractyes

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