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Record W2897729930 · doi:10.11158/saa.23.10.10

<span style="font-family: Times New Roman;">Review of the genus Leioseius Berlese, 1916 in North America, with description of two new species (Acari: Mesostigmata: Ascidae)</span>

2018· article· en· W2897729930 on OpenAlexaff
Evert E. Lindquist, María L. Moraza

Bibliographic record

VenueSystematic and Applied Acarology · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsMesostigmataBiologyAcariTaxonGenusKey (lock)ZoologyEcology

Abstract

fetched live from OpenAlex

The genus Leioseius Berlese is reviewed, faunistically in North America, and taxonomically, world-wide. Descriptions of two new species, redescriptions of two previously recorded species, and first records of Leioseius elongatus Evans in North America are presented. Observations indicate that various leg setal and pretarsal attributes are useful in taxonomic discrimination of species in this genus. A key to North American species based on both idiosomatic and leg setal aspects is presented. Four species previously described under the genus Iphidozercon Berlese are accounted for the first time as species of Leioseius, and other taxa described previously as four yet other species of Leioseius are transferred to other genera. A tentative key, provided for separation of females of the 22 recognizable world Leioseius species, accounts for these changes. General morphological notes about mites of this genus are presented, some of which may lead to recognition of species-groups. Scant, general biological aspects about Leioseius mites are presented.

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)0.002
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: none
Teacher disagreement score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0540.038

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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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