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Record W6977214628 · doi:10.60825/0705-z745

Analysis of the enhanced snow crab survey for monitoring conservation priorities in St. Anns Bank Marine Protected Area

2025· report· en· W6977214628 on OpenAlexaff

Bibliographic record

VenueFisheries and Oceans Canada / Pêches et Océans Canada - Publications · 2025
Typereport
Languageen
Field
Topic
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsSpecies richnessPelagic zoneBiodiversityNektonAbundance (ecology)Baseline (sea)Marine protected areaInvertebrateProtected area

Abstract

fetched live from OpenAlex

St. Anns Bank, situated offshore of Cape Breton, Nova Scotia/Unama’ki, was designated as a Marine Protected Area (MPA) under the Oceans Act in 2017 to conserve and protect benthic, demersal, and pelagic habitats, in addition to the high biodiversity and productivity in the area. Since 2015, the annual Snow Crab Survey (SCS) has been supplemented with enhanced stations inside and adjacent to the MPA, which, in addition to Snow Crab, provide length and weight data on fish and invertebrate bycatch, as well as diet data collected from fish stomachs. Here we investigated trends in biomass, species richness, and animal size data inside and outside the MPA between 2015-2023, as well as community composition and predator diets. Species richness from the SCS continues to increase as additional stations are sampled. Power analyses of the trawl data to investigate catch per unit effort in several key species revealed that additional stations would be required to adequately monitor changes in animal abundance and richness in the MPA at high power (>80%). Overall, the SCS provides vital information for monitoring the MPA’s conservation objectives related to biodiversity and productivity, but additional years and stations or new supplementary data streams will be needed to confidently identify trends over time.

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 score0.374
Threshold uncertainty score0.752

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.267
Teacher spread0.221 · 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 routes1
Has abstractyes

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Same venueFisheries and Oceans Canada / Pêches et Océans Canada - PublicationsFrench-language works237,207