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Record W4410308656 · doi:10.1080/14772000.2025.2479038

Taxonomic revision of the land snail genus <i>Perpolita</i> (Gastrodontidae: Gastropoda)

2025· article· en· W4410308656 on OpenAlexaboutno aff
Takumi Saito, Jeffrey C. Nekola, Markéta Nováková, Eva Líznarová, A.J. de Winter, Veronika Horsáková, Michal Horsák

Bibliographic record

VenueSystematics and Biodiversity · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMollusks and Parasites Studies
Canadian institutionsnot available
FundersAcademy of Natural Sciences of Drexel UniversityGrantová Agentura České Republiky
KeywordsGastropodaBiologyLand snailGenusTaxonomy (biology)ZoologySnailEcology

Abstract

fetched live from OpenAlex

Using an integrative approach considering nuclear and mitochondrial molecular phylogeny, shell morphology, expressed ecological niches and biogeography, we revise the taxonomy and nomenclature within the Holarctic land snail genus Perpolita (Gastrodontidae; Gastropoda). All supported taxa were found to be not only genetically distinct but also to possess diagnostic conchology, especially in terms of colour and the strength of microsculptural spiral grooves (‘sillons’) cut into the bottom shell surface. Our revision resulted in: (i) synonymization of Perpolita suzannae into P. dalliana; (ii) erection of Lapa gen. nov. to encompass species limited to tropical/subtropical habitats in the Caribbean basin; (iii) elevation of Perpolita radiatella to a full species, ranging from Continental Europe to the Yukon. It had previously been confused with both P. electrina and P. hammonis; (iv) erection of Perpolita radiatella hesperia subsp. nov. to designate a distinct genetic race ranging from the Altai Mountains to central Europe. http://zoobank.org/urn:lsid:zoobank.org:pub:3FFD4B50-1CD2-4C1C-A27C-F20C9EA7534C

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.194
Teacher spread0.179 · 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 designNot applicable
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

Citations2
Published2025
Admission routes1
Has abstractyes

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