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Record W6969036618 · doi:10.5281/zenodo.6335189

Microvelia pulchella Westwood 1834

2022· article· en· W6969036618 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsMarshBrackish waterHabitatCaveVegetation (pathology)Range (aeronautics)Waves and shallow waterHydrobiology

Abstract

fetched live from OpenAlex

Microvelia pulchella Westwood, 1834 Microvelia pulchella Westwood, 1834: Annls. Soc. Ent. Fr., Plate 6, Fig. 5. Material examined. Laguna Iberá RS: 4 ♂, 4 ♀, Iberá Lagoon, Fraga pier, 28°31’50.00’’S, 57°11’13.68’’W, 3.xii.2012. Yahaveré RS: 1 ♀, Concepción de Yaguareté Corá, house for researchers, swimming pool, 28°23’25.7”S, 57°53’15.9”W, 8.xi.2015. General distribution. Canada, USA, Mexico, Guatemala, Costa Rica, Panama, the Greater Antilles, the Lesser Antilles, Colombia, Venezuela, French Guiana, Brazil, Ecuador, Peru, Argentina (Moreira et al. 2011b; Pacheco-Chaves et al. 2014; Motta et al. 2018). Habitat. Microvelia pulchella lives in a wide range of aquatic habitats. It is usually associated with dense vegetation in unshaded areas of lentic habitats (ponds, lakes, puddles in drains, pools by waterfalls, lagoons, roadside ditches, sloughs, fens, swamps, marshes and dams) (Nieser & Alkins-Koo 1991; Taylor & McPherson 1999; Pelli et al. 2006; Franco et al. 2021; Rodrigues et al. 2021b) and of lotic habitats (streams and rivers) in standing or slowmoving water (Melo & Nieser 2004; Pereira & Melo 2007; Moreno-R et al. 2018; Franco et al. 2021; Rodrigues et al. 2021b). It has also been found on brackish water in the Lesser Antilles (Cobben 1960) and in a swimming pool (Melo & Nieser 2004). This species can live in pools in caves in complete darkness in Cuba (Nieser 1973). At the INR, specimens were collected from the margins of the Iberá Lagoon in shallow waters with emergent and floating vegetation (Estévez et al. 2003). During the present study, this species was collected together with M. hinei from margins with dense floating, emergent and submerged vegetation in Iberá Lagoon. One specimen was collected together with M. mimula in a swimming pool in Concepción de Yaguareté Corá.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.683
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 studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2720.018

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 head0.050
GPT teacher head0.188
Teacher spread0.139 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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