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Record W4414992631 · doi:10.3354/meps15005

Assessing the link between ontogenetic shifts in gill raker and diet composition of Arctic cod Boreogadus saida in the Canadian Beaufort Sea-Amundsen Gulf

2025· article· en· W4414992631 on OpenAlexaboutno aff
Marie Launay, Billy Plaitis, Andrew Majewski, Andrea Niemi, James D. Reist, María Quintela, Torild Johansen, Denis Roy

Bibliographic record

VenueMarine Ecology Progress Series · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsArcticPredationTrophic levelBeaufort seaHabitatPlanktivoreForagingPiscivoreMarine habitats

Abstract

fetched live from OpenAlex

Arctic cod Boreogadus saida represents the most widespread and abundant fish in the Arctic Ocean and is a key trophic link in Arctic marine ecosystems. As the Arctic undergoes further rapid warming, understanding the ecological dynamics of this species is critical for developing effective Arctic marine conservation efforts. In this study, we assessed the relationship between ontogenetic shifts in gill raker density and diet composition of Arctic cod in the Canadian Beaufort Sea-Amundsen Gulf, using diet analyses and dietary tracers. Our results support the hypothesis that ontogenetic changes in gill raker density are associated with age-specific dietary shifts, leading to changes in the species’ habitat preferences, from surface to deeper waters in the Canadian Beaufort Sea-Amundsen Gulf. As Arctic cod mature, their gill raker density decreases, making them less efficient at foraging on small prey found near the surface. Older fish, with sparser gill rakers, likely relocate to deeper areas to forage on larger prey, as reflected in their diet item sizes, proportions, and dietary tracers. These insights improve our understanding of how gill raker density, along with factors such as predation and thermoregulation, likely drive diet and habitat shifts in Arctic cod, contributing to our knowledge of their ecological role in Arctic marine systems.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.397
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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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