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Record W4247407245 · doi:10.3897/zookeys.35.314

Contributions towards an understanding of the Cryptophaginae (Coleoptera, Cryptophagidae) of Atlantic Canada

2010· article· en· W4247407245 on OpenAlexafffundabout
Christopher Majka, David W. Langor

Bibliographic record

VenueZooKeys · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsCanadian Forest ServiceNova Scotia Hospital
FundersDalhousie UniversityCape Breton UniversityAgriculture and Agri-Food CanadaMemorial University of NewfoundlandHelsingin Yliopisto
KeywordsZoogeographyBionomicsGeographyBiogeographyEcologyZoologyBiologyLarva

Abstract

fetched live from OpenAlex

Eighteen species of Cryptophaginae are now known to occur in Atlantic Canada. Eight of these including Cryptophagus difficilis Casey, Cryptophagus jakowlewi Reitter, Cryptophagus laticollis Lucas, Cryptophagus mainensis Casey, Cryptophagus tuberculosus Maklin, Pteryngium crenatum (Gyllenhal), Telmatophilus americanus LeConte and Caenoscelis basalis Casey, are newly recorded in Atlantic Canada; one of which, C. mainensis, is newly recorded in Canada, and another, C. laticollis, is newly recorded in eastern North America. Nineteen new provincial records are reported with the result that five species of Cryptophaginae are now known from New Brunswick, 14 from Nova Scotia, four from Prince Edward Island, 10 from insular Newfoundland, and four from Labrador. A new early date of detection (1986) is reported for the adventive Palaearctic Telmatophilus typhae (Fallen) in North America. Keys to identification are provided for the genera Antherophagus, Cryptophagus, and Telmatophilus and the composition, zoogeography, and bionomics of the group in Atlantic Canada are discussed.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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

Citations11
Published2010
Admission routes3
Has abstractyes

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