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Record W2099215816 · doi:10.1139/f02-101

Population structure of copper rockfish (<i>Sebastes caurinus</i>) reflects postglacial colonization and contemporary patterns of larval dispersal

2002· article· en· W2099215816 on OpenAlexvenueaboutno aff
Vincent P. Buonaccorsi, Carol A. Kimbrell, Eric A. Lynn, Russell D. Vetter

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersNational Eye Institute
KeywordsSebastesBiological dispersalSound (geography)PopulationPelagic zoneEcologyRange (aeronautics)ReefBiologyFisheryJuvenileGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

The copper rockfish (Sebastes caurinus) is a benthic, nonmigratory, rocky reef species with pelagic larval and juvenile stages lasting several months. Adults are commonly distributed in temperate coastal waters of the Pacific Ocean from British Columbia to southern California, including the inland waterways of Puget Sound, Washington, a semi-enclosed fjord system of known postglacial origin. Here, we report the distribution of genetic variation at six microsatellite DNA loci from six locations throughout the species' range. Among four coastal samples, significant population subdivision was detected (F ST = 0.007), and a significant correlation between genetic and geographic distance was observed. Divergence was large and significant between Puget Sound proper and coastal samples (F ST = 0.087). A sample taken only 100 km north of Puget Sound (the Canadian Gulf Islands) was also highly divergent from Puget Sound and coastal samples and was genetically intermediate between the two. The Puget Sound sample also displayed significantly lower allelic diversity and a more substantial presence of private alleles. The patterns of genetic divergence and diversity are most consistent with a historical colonization followed by limited oceanographic exchange among geographically proximate locations.

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 score0.012
Threshold uncertainty score0.494

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 head0.017
GPT teacher head0.213
Teacher spread0.196 · 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

Citations92
Published2002
Admission routes2
Has abstractyes

Explore more

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