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Record W2165325357 · doi:10.1139/f05-133

A comparison of population structure in black rockfish (<i>Sebastes melanops</i>) as determined with otolith microchemistry and microsatellite DNA

2005· article· en· W2165325357 on OpenAlexvenueno aff
Jessica A. Miller, Michael A. Banks, Daniel Gomez‐Uchida, Alan L. Shanks

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsOtolithSebastesBiologyMicrosatelliteRockfishPopulationZoologyPelagic zoneBiological dispersalFisheryFish <Actinopterygii>Genetics

Abstract

fetched live from OpenAlex

The black rockfish (Sebastes melanops) is a long-lived (≤50 years) viviparous species with an extended pelagic larval period (3–5 months) and a broad continental distribution. Prolonged larval periods have been assumed to lead to widespread dispersal resulting in minimal population structure. We tested this assumption by comparing otolith microchemistry and microsatellite DNA of adult black rockfish from four locations in Oregon and Washington. We observed significant differences among locations in element-to-Ca ratios (Mg:Ca, Mn:Ca, Zn:Ca, Sr:Ca, and Ba:Ca) at the otolith edge, which represented the last year of life. Discriminant function analysis, based on otolith element-to-Ca ratios classified, on average, 64% of the fish to collection location, suggesting that the majority of individuals from these locations did not mix. Using microsatellite DNA, we observed significant genetic differences among adults collected 340–460 km apart (F ST = 0.018 ± 0.004). Using five and seven loci, 63% and 75% of the fish, respectively, were correctly assigned to collection location. These two techniques provided corroborative and complementary information on the population structure of S. melanops.

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 score0.140
Threshold uncertainty score0.995

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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

Citations70
Published2005
Admission routes1
Has abstractyes

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