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Record W2766525095 · doi:10.11646/zootaxa.4341.2.8

Racekiela andina sp. nov. (Spongillida: Spongillidae): first report of a freshwater sponge from the Venezuelan Andes

2017· article· en· W2766525095 on OpenAlexaboutno aff
Victor Mundo Hernandez, Jose Gabriel Nino Barreat

Bibliographic record

VenueZootaxa · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMarine Sponges and Natural Products
Canadian institutionsnot available
Fundersnot available
KeywordsGenusBiologyZoologyRothschildHumanitiesArchaeologyGeographyArt

Abstract

fetched live from OpenAlex

The genus Racekiela Bass & Volkmer-Ribeiro, 1998 comprises six species of freshwater sponges distributed along the Palaearctic, Nearctic and Neotropical regions (Van Soest et al. 2017). They are characterized by an isodictyal skeleton solely of acanthoxeas, sparse spongin fibers, and tri-layered gemmules with radially embedded gemmoscleres of two types, short birotules and long pseudobirotules (Manconi & Pronzato 2002; Volkmer-Ribeiro & Machado 2007). Four species occur in the Northern Hemisphere: R. biceps (Lindenschmidt, 1950) from Michigan (Lindenschmidt 1950), R. pictouensis (Potts, 1885) from eastern Canada to New York (Penney & Racek 1968), R. ryderii (Potts, 1882) which ranges from eastern North America to the British Isles, Faroes and Norway (Manconi & Pronzato 2002), and the recently described R. montemflumina Carballo, Cruz-Barraza, Yáñez & Gómez, 2017 from Northwestern Mexico (Carballo et al. 2017). It is worthy to note that R. pictouensis is considered to be an ecomorph of R. ryderii by several authors (Porrier 1977; Ricciardi & Reiswig 1993). The other two species, R. cavernicola (Volkmer-Ribeiro, Bichuette & Machado, 2010) and R. sheilae (Volkmer-Ribeiro, De Rosa-Barbosa & Tavares, 1988), are both known only from Brazil (Volkmer-Ribeiro & Machado 2007; Volkmer-Ribeiro et al. 2010). Here we describe a new member of the genus, found in lakes of high-mountain ecosystems, or páramos, in the Cordillera de Mérida. This constitutes the first record of specimens belonging to Racekiela for the Andes and Venezuela.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.254
Teacher spread0.240 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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