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Record W4322488713 · doi:10.11646/zootaxa.5249.1.6

Zavrelia parapentatoma (Chironomidae: Diptera), a curious new species from North America, revealed by molecular methods

2023· article· en· W4322488713 on OpenAlexaff
Armin Namayandeh, Patrick L. Hudson, Edris Ghaderi, Wendylee Stott

Bibliographic record

VenueZootaxa · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsFisheries and Oceans CanadaTrent University
Fundersnot available
KeywordsBiologyChironomidaePupaGenusZoologyLarvaEcology

Abstract

fetched live from OpenAlex

In this study, we describe Zavrelia parapentatoma sp. nov. based on specimens collected near a cattail marsh in Michigan, USA. At first glance, the new species resembles Zavrelia pentatoma Kieffer & Bause, 1913 closely. However, a detailed morphological and molecular assessment revealed the differences. Morphologically the two species can be separated mainly based on the shape and pattern of long spinulae between long anal crests of adult males and setal patterns on the pupal abdomen. Larvae of both species also have some subtle morphological differences that are discussed in this study. Our molecular analysis of cytochrome oxidase (COI) genes and methods for delimiting species further supported the presence of a new species. In this study, we describe all the life stages, provide life history observations for this new species, and provide keys to adult males and immatures of the genus Zavrelia.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.013
GPT teacher head0.236
Teacher spread0.224 · 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
Published2023
Admission routes1
Has abstractyes

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