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Record W7116898248 · doi:10.60825/e91z-1097

Scallop buffer zones (SFA 21, 22, 24) marine refuges in the southern Gulf of St. Lawrence, Canada : a scientific overview of the environment and ecosystem

2025· report· en· W7116898248 on OpenAlexaffabout
Arieanna Caroline Balbar, Trevor T. Bringloe, Samantha Shaw-McDonald, Venitia Joseph, Curtis Dinn, Daniel Bourque, Jacob Burbank, Natalie C Asselin, Joël Chassé, Marjolaine Blais, Eva Dickson, Tanya Arseneault

Bibliographic record

VenueFisheries and Oceans Canada / Pêches et Océans Canada - Publications · 2025
Typereport
Languageen
Field
Topic
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsScallopFishingPopulationBiodiversityHabitatMarine ecosystemEndangered speciesMarine habitatsInvertebrate

Abstract

fetched live from OpenAlex

The Scallop Buffer Zones (SBZs) marine refuges, located within Scallop Fishing Areas 21, 22, and 24, were recognized as marine conservation areas in 2017 to protect juvenile American Lobster (Homarus americanus) and its habitat in the southern Gulf of St. Lawrence. The SBZs are also important habitat for additional biodiversity conservation benefit species of interest such as spawning Atlantic Herring (Clupea harengus), while SBZ 22 contains a Lady Crab (Ovalipes ocellatus) population isolated from its southern range, and one of the only remaining summering areas for an endangered population of Winter Skate (Leucoraja ocellata) in the Gulf of St. Lawrence. This document provides an overview of the physical features and ecology of the fish and benthic invertebrate populations found within the SBZs, and provides a summary of previous research conducted within the marine refuges as well as uncovered data gaps.

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: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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
GenreOther

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