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Record W2910825395 · doi:10.11646/zootaxa.2639.1.6

Description and DNA barcoding assessment of the new species Deutonura gibbosa (Collembola: Neanuridae: Neanurinae), a common springtail of Alps and Jura

2010· article· en· W2910825395 on OpenAlexaff
David Porco, Louis Deharveng

Bibliographic record

VenueZootaxa · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCollembola Taxonomy and Ecology Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologySubspeciesDNA barcodingTaxonomy (biology)TaxonSpringtailChaetaZoologyEcology

Abstract

fetched live from OpenAlex

Deutonura gibbosa, a new species of the phlegraea group, is described. It is characterized by a large elongate uneven tubercle Di on Abd. V, with chaetae Di1 and Di2 shift backward. It has otherwise the same chaetotaxic pattern as the subspecies sylvatica of D. deficiens. Deutonura gibbosa sp. nov. is the most widespread Deutonura in the Alps and southern Jura. Its barcode sequence is provided and compared to those of four other Deutonura of the phlegraea group; it unambiguously differs from them, including from D. deficiens sylvatica, its closest relative according to current taxonomy. This is the most convincing example so far that barcode may help to discriminate taxa among closely related species in Collembola.

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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.224
Teacher spread0.201 · 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

Citations24
Published2010
Admission routes1
Has abstractyes

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