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Record W2742214306 · doi:10.11646/zootaxa.4300.4.7

First record of the genus Bunops Birge, 1893 (Cladocera: Macrothricidae) in the Neotropical highlands of Mexico with a detailed study of morphology and DNA barcodes

2017· article· en· W2742214306 on OpenAlexfundno aff
ANA L. MARTÍNEZ-CABALLERO, SELENE MORALES-GUTIÉRREZ, Manuel Elías‐Gutiérrez

Bibliographic record

VenueZootaxa · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
FundersUniversity of Guelph
KeywordsBiologyCladoceraDNA barcodingBranchiopodaParthenogenesisGenusCrustaceanZoologyTaxonomy (biology)Mitochondrial DNAHomopteraEcologyEvolutionary biologyFisheryBotanyGene

Abstract

fetched live from OpenAlex

For the first time, the genus Bunops Birge, 1893 (Crustacea: Cladocera) has been found in the Neotropics of Mexico. It was found in only one pond in the Central Mexican Plateau, characterized by its high altitude, more than 2500 m above sea level. The specimens, corresponding to Bunops cf. serricaudata, are described here, including parthenogenetic and ephippial females, and males, using both morphological and molecular methods (DNA barcoding). The new micro-structural characters added here are: a detailed description of the internal part of valves in parthenogenetic females, the fine structure of all limbs, peculiarities of the ephippial female and males including new microcharacters of the first antenna and the hook on the first limb. We also include sequences of the COI mitochondrial gene (known as DNA barcode) and compare them with other macrotricids. With this new information, we hope to understand further this enigmatic and elusive genus and facilitate future research and comparisons at the global level.

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 score0.020
Threshold uncertainty score0.040

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.223
Teacher spread0.212 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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