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Record W4401608088 · doi:10.11646/zootaxa.5496.1.1

Siberian mites of the genus Zerconopsis Hull, 1918 (Mesostigmata, Ascidae): description of a new species, re-description of Z. michaeli Evans & Hyatt, 1960, and key for species identification

2024· article· en· W4401608088 on OpenAlexaff
О. Л. Макарова, IRINA I. MARCHENKO, Evert E. Lindquist

Bibliographic record

VenueZootaxa · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsBiologyMesostigmataEcologyKey (lock)HolarcticGenusTundraRange (aeronautics)Identification keyHabitatTaigaArboreal locomotionMiteArctic

Abstract

fetched live from OpenAlex

A new soil-dwelling mite species, Zerconopsis sibiricus sp. nov., is described from Russia based on the females, males, and nymphs. It occurs in plain and mountain areas of Siberia and the Far East (27 localities), in tundra (Low Arctic) and taiga landscapes, including the area of the Cold Pole of the Northern Hemisphere. Another species, Zerconopsis michaeli Evans & Hyatt, 1960, is first reported from Denmark, Russia, Georgia, Turkey, Azerbaijan, and California, USA (23 new records). Its male, nymphs, and larva are first described, and the female description is corrected with illustrations. The range of Z. michaeli in the Old World can be considered as an Amphi-Palaearctic one, excluding areas with very cold and/or continental climates. This species dwells in forest litter, rotten wood, and bracket fungi; however, in Northern Europe almost all records are from arboreal (woody, fungal) habitats. The genus Zerconopsis Hull, 1918 now includes 19 described species from all continents except Africa and Antarctiсa. A revised generic diagnosis is provided, and three morpho-ecological species groups are recognised. A key for the five Zerconopsis species residing in Siberia is given.

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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.055
GPT teacher head0.238
Teacher spread0.183 · 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
Published2024
Admission routes1
Has abstractyes

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