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Record W2118238267 · doi:10.11646/zootaxa.3881.4.4

Description of the second and third instars of Aspidytes wrasei Balke, Ribera & Beutel, 2003, with comments on the identification of larvae of Aspidytes Ribera, Beutel, Balke & Vogler, 2002 (Coleoptera: Aspidytidae), and phylogenetic considerations

2014· article· en· W2118238267 on OpenAlexafffund
Mariano C. Michat, Yves Alarie, Fenglong Jia, Sheng‐Quan Xu, Jiřı́ Hájek, Michael Balke

Bibliographic record

VenueZootaxa · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsInstarBiologyLarvaSetaGenusAnatomyZoologyBotany

Abstract

fetched live from OpenAlex

The second- and third instar larvae of the cliff water beetle Aspidytes wrasei Balke, Ribera & Beutel, 2003 are studied for the first time with special emphasis on morphometry and chaetotaxy. A review of the characters useful in the identification of larvae of Aspidytes Ribera, Beutel, Balke & Vogler, 2002 is presented. Confirming previous findings, larvae of this genus are unique within Hydradephaga in the dorsally oriented spiracles on the abdominal segment VIII of instars II and III. The inclusion of Aspidytidae within the superfamily Dytiscoidea is reinforced by the following putative synapomorphies: presence of pore PAp, proximal insertion of pore ANg, apical or subapical insertion of seta MX8, presence of pore LAd, and distal insertion of seta CO6. Larvae of A. wrasei differ from those of A. niobe Ribera, Beutel, Balke & Vogler, 2002 in several significant characters that may indicate that both species have a long history of independent evolution.

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)0.001
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 score0.297
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.215
Teacher spread0.184 · 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

Citations7
Published2014
Admission routes2
Has abstractyes

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