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Record W2266682277 · doi:10.1093/icesjms/fsv186

Evaluation of benthic assemblage structure in the NAFO regulatory area with regard to the protection of VME

2015· article· en· W2266682277 on OpenAlexaffabout
Christopher R. S. Barrio Froján, Anna‐Leena Downie, Ellen Kenchington, Andrew Kenny

Bibliographic record

VenueICES Journal of Marine Science · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
FundersEuropean Commission
KeywordsVMEbusBenthic zoneFishingEnvironmental scienceFisheryGeographyOceanographyComputer scienceGeologyBiology

Abstract

fetched live from OpenAlex

This article presents the results from the analysis of data acquired during the NEREIDA survey programme (2009–2010) around the Flemish Cap and the tail of the Grand Banks of Newfoundland (NAFO Regulatory Area). Biological samples were collected using a mega boxcore, and were processed for the extraction and identification of benthic macrofauna. A suite of physical samples and environmental measurements was also collected for evaluation. Analyses revealed the presence of benthic assemblages that were indicative of vulnerable marine ecosystems (VME). VME indicative assemblages were present mostly outside of the fishing footprint. A simple habitat suitability model identified areas that are likely to accommodate VME indicative assemblages. Areas with the greatest potential to accommodate VME assemblages closely correspond with areas already managed for the protection of VME, where bottom-contact fishing practices are currently excluded. Such results support the notion that existing bottom-fishery exclusion zones should continue to be enforced for the long-term protection of VME.

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)0.002
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 score0.261
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.050
GPT teacher head0.295
Teacher spread0.245 · 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

Citations7
Published2015
Admission routes2
Has abstractyes

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