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Record W7133271307

An Assessment of the Orange-Footed Sea Cucumber (Cucumaria frondosa) resource on the St. Pierre Bank (NAFO Subdivision 3Ps) in 2022

2025· other· en· W7133271307 on OpenAlexaffabout
K. Charmley, K. D. Baker, E. J. Coughlan

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsGovernment of CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsFishingSea cucumberResource (disambiguation)ArcticSubdivision
DOInot available

Abstract

fetched live from OpenAlex

The orange-footed sea cucumber (Cucumaria frondosa) is a species of holothurian widely distributed in the northern hemisphere, in both the North Atlantic and the Arctic Ocean. This species is mainly found at depths of 30 to 60 m, on hard rock, gravel, or shell substrates. There are two main sea cucumber concentrations on the Canadian portion of the St. Pierre Bank (Northwest Atlantic Fisheries Organization [NAFO] Subdivision 3Ps) - one northwest and one southeast of the French Economic Zone. In 2003, a new sea cucumber fishery began, with eight harvesters given allocations (454 t) to explore potential commercial concentrations. As part of the emerging fisheries policy, the same eight fishers entered into a five-year Joint Project Agreement (JPA) with Fisheries and Oceans Canada (DFO) to conduct a resource assessment survey from 2004 to 2008. This fishery formally transitioned to a commercial fishery in 2013. Allocation in the northwest area increased to 2,242 t in 2013, where it remains. The southeast area opened to fishing in 2017 with temporary licenses amounting to 3,773 t. This allocation increased to 4,717 t in 2019, where it remains. The status of NAFO subdivision 3Ps sea cucumber was last updated in 2018. The update concluded that there was no scientific basis for assessing the risk of any increase in harvest level and that sustainable exploitation rates are unknown. In 2022, this resource status was assessed based on commercial catch data, emerging fishery survey (2004–08) and DFO sea cucumber surveys (2016, 2017, and 2022). In 2022, landings were 2,065 t in the northwest area and 4,020 t in the southeast area. The unstandardized catch per unit effort (CPUE) has increased in both beds since the beginning of the fishery. There is some evidence that sea cucumbers may be decreasing in size in both areas throughout the time series. A spatiotemporal model was used to estimate biomass and abundance indices. In 2022, the biomass index for the northwest area was near the average observed during the emerging fishery (2004–08). In 2022, the biomass index for the southeast area remains below the average biomass index observed from 2004 to 2008. The abundance index in the northwest area has a general increasing trend since the beginning of the survey. The abundance index in the southeast area varied without trend throughout the time series. Exploitation rate indices are anticipated to remain relatively stable in 2023, assuming status-quo total allowable catch. However, sustainable exploitation rates of sea cucumber on the St. Pierre Bank are unknown. Given the uncertainty with the assessment of stock status of this species, there is no scientific basis for assessing the risk of the current or any change in the harvest level.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.388
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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 routes2
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207