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Record W7133289881

American Eel (Anguilla rostrata) freshwater population trajectory in Canada

2025· other· en· W7133289881 on OpenAlexaboutno aff
Adam S. van der Lee, Marten A. Koops

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPanmixiaRange (aeronautics)Abundance (ecology)Series (stratigraphy)Time seriesLimiting
DOInot available

Abstract

Describing trends in American Eel (Anguilla rostrata) abundances has been tackled regularly at various locations across its range; however, describing a common trajectory for the whole panmictic population has been a challenge. As a step toward this broader challenge, 12 fishery-independent datasets from freshwater across the Canadian range were used to estimate a Canada-wide trajectory of American Eel relative abundance. These datasets averaged 29 years per time series (range: 14-65) over the 1952-2018 time period. Time series mostly tracked yellow eel (n = 10), with some elver (n = 1) and silver eel (n = 1). Each dataset was standardized to control for potentially confounding factors, and the standardized statistical models were used to generate a standardized time series of relative abundance. These standardized relative abundances were transformed to a common scale, and a Canada-wide trend was fit. Generally, datasets with more historical data had more negative year trends. The Canada-wide trend produced mean rates of decline of -0.021 to -0.046 per year since 1980. The model indicated a 100% likelihood that the Canadian freshwater population has declined since 1980 and a 69.2-100% likelihood that the decline was greater than 50%. Limiting data to the 2000-2018 years produced less negative trends that generally did not differ from zero. Results were robust to the data standardizations, inclusion or exclusion of individual datasets, and adjustments for the spatial distribution of data. Overall, this analysis shows that while American Eel freshwater abundance in Canada has been stable over the last two decades, significant declines preceded this time period and were not limited to the St. Lawrence basin.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Fisheries science estimating American Eel abundance trends across Canada.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This analyzes Canadian American eel population trends rather than the Canadian research system.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Ecology/conservation trend analysis of American eel abundance, not research practice.

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 score0.016
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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

Explore more

Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207