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Record W4402772090 · doi:10.3354/aei00488

Detached tentacles of lion’s mane jellyfish Cyanea capillata can injure aquaculture fish

2024· article· en· W4402772090 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAquaculture Environment Interactions · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
Fundersnot available
KeywordsJellyfishBiologyFisheryFish <Actinopterygii>AquacultureZoology

Abstract

fetched live from OpenAlex

Gelatinous zooplankton can cause fish mortalities and economic losses for aquaculture companies. While protective measures against jellyfish blooms are increasingly implemented, free-floating tentacles have not been considered. Tentacles with active cnidocysts, both whole and fragmented, can cause potential damage to fish for an unknown duration after the jellyfish bloom has passed. In this pilot study, we measured for how long detached tentacles of the lion’s mane jellyfish Cyanea capillata can cause injuries/catch zooplankton prey. Controlled experiments were conducted in late summer 2007 using in situ collected specimens from northern Iceland. Jellyfish tentacles maintained their full ability to capture brine shrimps Artemia salina for 24 d. However, no prey could be immobilised from Day 26 onwards. To our knowledge, this is the first experimental evidence showing how long cnidocysts in tentacles can catch prey and thus potentially harm aquaculture fish after detachment (about 3.5 wk); this information should be considered when making any hypothetical risk assessment.

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.

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 categoriesInsufficient 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: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0300.002

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 head0.217
Teacher spread0.205 · 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