MétaCan
Menu
Back to cohort
Record W2097920429 · doi:10.11646/zootaxa.3925.2.5

Diversity of Piophilidae (Diptera) in northern Canada and description of a new Holarctic species of Parapiophila McAlpine

2015· article· en· W2097920429 on OpenAlexaffabout
Sabrina Rochefort, Terry A. Wheeler

Bibliographic record

VenueZootaxa · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsMcGill University
FundersVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsHolarcticNearctic ecozoneBorealArcticEcologyBiologySubarctic climateSpecies richnessBiodiversityZoologyTaxonomy (biology)Genus

Abstract

fetched live from OpenAlex

Piophilidae (Diptera) were inventoried at 12 sites in boreal and arctic Canada as part of the 1947-1962 Northern Insect Survey and 2010-2011 Northern Biodiversity Program. Seventeen species were identified, including a new Holarctic species: Parapiophila kugluktuk sp. n. which is widespread in North America and northern Sweden. Allopiophila calceata Duda is considered a junior synonym of Parapiophila atrifrons (Melander & Spuler) syn. n. based on morphological and molecular evidence. Parapiophila baechlii Merz, previously known from Switzerland, is newly recorded in the Nearctic region, as well as Sweden and northeastern Russia (Cherskiy). Parapiophila pectiniventris (Duda), previously known from the Palaearctic region and Greenland, is newly recorded from North America. Species richness was highest in mainland subarctic sites (16 species, 246 specimens). Five species (13 specimens) were collected in boreal sites, and five species (701 specimens) were collected on the high arctic island sites.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.203
Teacher spread0.156 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueZootaxaSame topicFossil Insects in AmberFrench-language works237,207