MétaCan
Menu
Back to cohort
Record W7110410494 · doi:10.5061/dryad.gqnk98sz7

Population genetics and origins of rainbow smelt (Osmerus mordax) in the Laurentian Great Lakes

2025· dataset· en· W7110410494 on OpenAlexaffabout

Bibliographic record

VenueDRYAD · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of WaterlooWestern University
Fundersnot available
KeywordsSmeltPopulationFish migrationCline (biology)OverexploitationBiological dispersalFlooding (psychology)Plastic pollution

Abstract

fetched live from OpenAlex

Rainbow smelt (Osmerus mordax) are a small predatory fish first recorded in the Great Lakes in 1906. Despite the major ecological and economic impacts of smelt in the Great Lakes, most information on the origins of these populations comes from second-hand accounts written decades after the first smelt were recorded. These accounts are based on circumstantial evidence and include speculation about natural migration and reproduction of smelt in Lake Ontario as well as secondary anthropogenic introductions Great Lakes. Here, we use mtDNA sequencing and RFLP to demonstrate that the single, recorded government introduction of smelt to the Great Lakes in Michigan around 1912 accounts for only about half of the ancestry of Great Lakes smelt. The remaining ancestry appears to be from an anadromous source population. Furthermore, the absence of a longitudinal cline in haplotype frequency indicates that gene flow and dispersal are high amongst smelt in the Great Lakes. Our results suggest a multiple invasion pathway within the Great Lakes and provide insights into the genetic diversity of the extant Great Lakes populations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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

Explore more

Same venueDRYADFrench-language works237,207