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Record W4308586470 · doi:10.1139/cjz-2022-0058

New species and new distributional records of the hygropetric water scavenger beetle genus <i>Ephydrolithus</i> Girón &amp; Short (Coleoptera: Hydrophilidae) from the Brazilian Shield

2022· article· en· W4308586470 on OpenAlexvenueno aff
Janderson Batista Rodrigues Alencar, Myllena Bastos Serra, Andrew E. Z. Short, Neusa Hamada

Bibliographic record

VenueCanadian Journal of Zoology · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyHydrophilidaeScavengerGenusEcologyKey (lock)ZoologyShieldPaleontology

Abstract

fetched live from OpenAlex

The water scavenger beetle Ephydrolithus Girón and Short, 2019 contains five species, all occurring in the southeastern region of Brazil. In this paper, 5 new species are described from the Brazilian Shield, bringing the number of species in the genus to 10: Ephydrolithus bentoi sp. nov., Ephydrolithus cipo sp. nov., Ephydrolithus mucugensis sp. nov., Ephydrolithus serro sp. nov., and Ephydrolithus vivas sp. nov. New geographical records in the Brazilian Shield are provided for Ephydrolithus hamadae Girón and Short, 2019, Ephydrolithus spiculatus Girón and Short, 2019, and Ephydrolithus teli Girón and Short, 2019. Corroborating the previously described habitat for the genus, all new species are associated with hygropetric zones such as wet rocks, waterfalls, and seepages. An updated key to identify adults of Ephydrolithus is provided.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.190
Teacher spread0.169 · 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.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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