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Record W4360835333 · doi:10.3897/zookeys.1156.94589

New records of Nitidulidae (Nitidulidae, Coleoptera) species in Canada, Ontario, and Manitoba

2023· article· en· W4360835333 on OpenAlexafffundabout
Sharon E. Reed, David Dutkiewicz, Fiona M. Ross, Jennifer Llewellyn, Hannah Fraser

Bibliographic record

VenueZooKeys · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsMinistry of Agriculture, Food and Rural AffairsResearch ManitobaOntario Forest Research InstituteMinistry of Natural Resources and Forestry
FundersNatural Resources CanadaCanadian Food Inspection AgencyOntario Ministry of Natural Resources and ForestryMinistry of Natural Resources
KeywordsGeographyEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Nitidulidae trapping performed from 2018 to 2021 to characterize flight behaviors of potential vectors of the oak wilt pathogen yielded three new species records for Canada, six new species records for Ontario, and three new species records for Manitoba. The new records for Canada include Carpophilus (Ecnomorphus) corticinus reported from Ontario, C. (Myothorax) nepos reported from Ontario and Manitoba, and Glischrochilus (Librodor) obtusus reported from Ontario. In addition, the following species are first recorded in Ontario: Carpophilus (Ecnomorphus) antiquus, C. (Megacarpolus) sayi,Stelidota coenosa; and also in Manitoba: Carpophilus (Megacarpolus) lugubris andCychramus adustus. Collection data is provided for the two provinces and national records.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.176
Teacher spread0.167 · 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 routes3
Has abstractyes

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