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Record W1973928238 · doi:10.1139/f04-008

Population genetics and phylogeography of the blue rockfish (<i>Sebastes mystinus</i>) from Washington to California

2004· article· en· W1973928238 on OpenAlexvenueno aff
Jason M. Cope

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
Fundersnot available
KeywordsPhylogeographySebastesRockfishNucleotide diversityBiologyPopulationEcologyPanmixiaGenetic diversityPopulation geneticsmtDNA control regionGenetic structureFisheryHaplotypePhylogeneticsFish <Actinopterygii>GeneticsDemography

Abstract

fetched live from OpenAlex

Blue rockfish (Sebastes mystinus) are a major component of nearshore ecology and fisheries on the west coast of the United States, but the extent of spatial structuring between localized populations is unknown. I sampled 245 blue rockfish at eight locations from Washington to California and sequenced a 498 base pair portion of the mitochondrial DNA control region to describe genetic diversity, population structure, and phylogeography. Haplotype diversity was high, but nucleotide diversity was low, indicating historically unstable population dynamics. Significantly high levels of population differentiation were detected among sample sites (maximum pairwise F ST : full sequence = 0.25, reduced sequence = 0.74, P &lt; 0.001), with a distinct break (Φ CT : full sequence = 0.12; reduced sequence = 0.36, P &lt; 0.05) north and south of Cape Mendocino and no overall trend between geographic and genetic distances. Cape Mendocino may prove an important biogeographic barrier to other marine organisms, but it has not been extensively explored as such. The northern subpopulation derived from the southern subpopulation, but little contact has been made between the populations for potentially thousands of years. Therefore, repopulation of a depleted southern subpopulation is unlikely to come from the less-fished northern subpopulation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.194
Teacher spread0.185 · 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.

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

Citations55
Published2004
Admission routes1
Has abstractyes

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