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Record W4399137696 · doi:10.11646/zootaxa.5458.3.1

Larval ground plan of Platynectes Régimbart, 1879 reconsidered: description of the larvae of three species with phylogenetic considerations (Coleoptera: Adephaga, Dytiscidae)

2024· article· en· W4399137696 on OpenAlexaff
Yves Alarie, Mariano C. Michat, Andrew E. Short, C. H. S. Watts

Bibliographic record

VenueZootaxa · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsLaurentian UniversityUniversity of Sudbury
Fundersnot available
KeywordsDytiscidaeBiologyLarvaZoologyPhylogenetic treeGround beetleEcologyHabitat

Abstract

fetched live from OpenAlex

In this contribution we describe and illustrate for the first time the larvae of three species of Platynectes Régimbart, 1879 (P. agallithoplotes Gustafson, Short & Miller, 2016, P. bakewelli (Clark, 1863), and P. reticulosus (Clark, 1863)) including detailed morphometric and chaetotaxic analyses of selected body structures in order to discover useful characters for distinguishing Platynectes larvae from those of other known Agabinae (Coleoptera: Dytiscidae). A parsimony analysis based on larval characteristics of 19 Agabinae species in six genera (Agabus Leach, 1817, Agabinus Crotch, 1873, Hydrotrupes Sharp, 1882, Ilybiosoma Crotch, 1873, Platynectes, and Platambus Thomson, 1859) was conducted using the program TNT. The results support Platynectes as a natural group whilst the six species studied split into two well supported clades: P. agallithoplotes + P. decemnotatus (Aubé, 1838) and P. curtulus (Régimbart, 1899) + P. davidorum Hájek, Alarie, Šťastný & Vondráček, 2019 + P. reticulosus + P. bakewelli. Larvae of P. agallithoplotes have proven to be characterized by a large number of unique character states, several of which were never observed until now in the Agabinae. Evidence is provided to the effect that the Neotropical species of Platynectes s. str. evolved as a unique lineage within Platynectes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.157
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.202
Teacher spread0.162 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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