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Record W3192921353 · doi:10.5539/jas.v13n8p84

First Record of Sericomyrmex mayri for Paraguay and Increasing the Range of Distribution of 17 Ant Species in the Central Department

2021· article· en· W3192921353 on OpenAlexvenueno aff
Claus Brehm, Víctor Gómez

Bibliographic record

VenueJournal of Agricultural Science · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPheidoleLinepithemaBiologyEcologyTaxonomy (biology)Range (aeronautics)HymenopteraZoology

Abstract

fetched live from OpenAlex

Ants have been studied in Paraguay, South America, over the last two centuries, nevertheless new species can still be discovered with simple sample surveys. Most species collected in the country belong to one or few locations, therefore knowledge about species distribution is limited. A total of 2,040 ants have been collected, belonging to 7 subfamilies and representing 44 species. All of these species, except Sericomyrmex mayri, were documented for Paraguay and 17 species were first documented in the Central Department. Those 17 species are: Camponotus sanctaefidei, Crematogaster acuta, C. arata, Cyphomyrmex laevigatus, C. lectus, C. minutus, Forelius pusillus, Linepithema neotropicum, L. pulex, Mycetomoellerius fiebrigi, Nylanderia docilis, Pheidole cyrtostela, Pogonomyrmex tenuipubens, Solenopsis megergates, S.richteri, Strumigenys hindenburgi, and Wasmannia lutzi. These species belong to 12 genera and 3 subfamilies. The new recorded species is described and illustrated with photographs of the collected specimens as well as a short description of taxonomy, ecology, and distribution. A list of the new species to the Central Department is also provided. The aim of this study is to increase the knowledge of ant species in Paraguay and their distribution.

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 score0.021
Threshold uncertainty score0.042

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 communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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
Published2021
Admission routes1
Has abstractyes

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