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Habitat and identification of scyphozoan polyps in Bages-Sigean lagoon (France)

2025· article· en· W4407024217 on OpenAlexafffund
Jessica Schaub, Valentina Leoni, Sandrine Crochemore, Hadrien Blayac, Benjamin A. Kleinerman, Anaïs Courtet, Etienne Bourgouin, Delphine Bonnet

Bibliographic record

VenueMarine Environmental Research · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
FundersCHIST-ERANatural Sciences and Engineering Research Council of CanadaHarrison McCain FoundationCampus FranceAgence Nationale de la RechercheAgencia Nacional de Investigación e Innovación
KeywordsIdentification (biology)HabitatEcologyGeographyBiology

Abstract

fetched live from OpenAlex

Polyps are important stage in the medusozoan jellyfish life cycle, but the ecology of wild populations is still poorly understood. For some species, like Rhizostoma pulmo, polyps have never been reported in the wild. The Bages-Sigean lagoon is a Mediterranean, semi-enclosed lagoon with seasonally abundant Aurelia coerulea and R. pulmo medusae. Given its semi-closed nature and because ephyrae are commonly observed, it is likely that the polyps of both species reside in the lagoon. Our study aimed to characterize the polyp species distribution for this lagoon by performing snorkeling surveys of the potential polyp substrates, such as wood, concrete, buoys and bivalves. We observed polyp colonies at five sites, all on the underside of floating polypropylene docks despite the diversity of available substrates. Identification of the jellyfish species was performed in two ways: by strobilation then development of the ephyrae in aquaria, and by DNA sequencing of the collected polyps. All five sites produced A. coerulea medusae, but we were unable to locate polyps of R. pulmo despite surveying substrates that the planulae settle on under laboratory conditions. This study underscores the need to improve our ability to locate polyps in the wild by expanding laboratory studies to include more species, increasing sampling efforts and substrates in the field, and applying new methods (e.g., eDNA, hydrodynamic modeling).

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)0.001
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 score0.046
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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