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Record W7133281705

Assessment of Capelin (Mallotus villosus) in 2J3KL to 2019

2023· other· en· W7133281705 on OpenAlexaff
F. K. Mowbray, A. T. Adamack, H. M. Murphy, K. Lewis, M. Koen-Alonso

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsGovernment of CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsCapelinPredationStock (firearms)Stock assessmentFish stockAbundance (ecology)
DOInot available

Abstract

fetched live from OpenAlex

The assessment of the 2J3KL Capelin (Mallotus villosus) stock included fisheries and ecosystem data to the fall of 2019, and the sea ice data available to March 2020. Data sources reviewed included spring 3L acoustic surveys, inshore larval surveys, multispecies bottom trawl surveys and fishery catches, state of the ecosystem, predatory fish diets and consumption of Capelin by fishes. Following the collapse of this stock in the early 1990s, the spring acoustic survey abundance index declined by an order of magnitude. Coincidentally the size at age of younger Capelin increased and the age at maturity decreased. There have been no strong indications of recovery of the stock since. The 2019 spring acoustic abundance index was at a similar level to 2017 and was consistent with values observed during the period of lowest values during the early 2000s. Age-3 fish comprised a larger than usual portion of the spring survey abundance and fishery catches in 2019. Patterns in Capelin distribution, growth and maturation were consistent with the interpretation that the surveyed cohorts were weak (2018) to moderate (2017) in strength. Due to the high proportion of maturing age-2 fish and the usual high rates of post-spawning mortality few age-3 spawners are expected in 2020. The larval index has indicated poor production for the last 5 years including the two cohorts entering the fishery in 2020. However fewer empty stomachs in adults suggests that feeding success has improved moderately in the last 3–4 years, which may lead to an improvement in post larval survival. The forecast model predicts that Capelin biomass index for the 2020 spring acoustic survey will likely decline compared to 2019, returning to low biomass levels similar to that seen in 2017. The increases in groundfish observed in the late-2000s and early-2010s appear associated with bottom-up processes, including an improved prey field, with modest increases in Capelin availability in comparison with the 1990s. Capelin and shrimp are key forage species in the ecosystem. More recent declines in total finfish biomass may be associated with simultaneous reductions in Capelin and shrimp availability.

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)0.001
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 score0.923
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.265
Teacher spread0.256 · 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
Published2023
Admission routes1
Has abstractyes

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