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Record W4410892903 · doi:10.1093/jcbiol/ruaf026

The first report of y-larvae (Crustacea: Facetotecta) from the Caribbean coast of Panama, with an overview of their occurrence in the Americas and surprising parallels to the Okinawan fauna

2025· article· en· W4410892903 on OpenAlexaboutno aff
Jørgen Olesen, Sarah Gerken, Kevin M. Kocot, Regina Wetzer

Bibliographic record

VenueJournal of Crustacean Biology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersCarlsbergfondet
KeywordsPanamaBiologyFaunaParallelsCrustaceanLarvaEcologyZoologyFishery

Abstract

fetched live from OpenAlex

Abstract Facetotectans, or “y-larvae,” are microscopic planktonic crustaceans whose adults are still unknown. Recent investigations have confirmed a large diversity of both y-nauplii and y-cyprids in shallow coastal waters in East Asia, especially off mainland Japan, Okinawa, and Taiwan. Although y-larvae are widely, if sparsely, distributed in other parts of the world, efforts to evaluate their true abundance and diversity outside East Asia have been few. There have been especially few records in the Americas outside the maritime provinces of Canada. We present the first record of Facetotecta on the Caribbean coast of Panama, and just the third in the Caribbean Sea, based on about ten days of sampling in the Bocas del Toro Archipelago off Panama’s northeastern coast. Sampling six localities yielded seven y-nauplii and naupliar exuviae, all from the same locality, Isla Zapatilla #2. This is a much lower take than would be expected based on previous experience in similar habitats in East Asia. The seven specimens likely represent five different species, all of which could be matched, usually with high confidence, to some of the 40 or so y-naupliar morpho-species that have recently been designated and diagnosed from Okinawa. The true species-level diversity of Facetotecta in the Caribbean region is likely to be appreciably greater than this, but it can only be assessed by a much more intensive sampling program combined with molecular analyses.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.044
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.315
Teacher spread0.269 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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