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GEOGRAPHIC VARIATION IN NUCLEAR GENES OF THE EASTERN OYSTER, CRASSOSTREA VIRGINICA GMELIN

2005· article· en· W1877279362 on OpenAlexaboutno aff
Cindi A. Hoover, Patrick M. Gaffney

Bibliographic record

VenueJournal of Shellfish Research · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsnot available
FundersDelaware Sea Grant, University of DelawareUniversity of Delaware
KeywordsEastern oysterCrassostreaBiologyOysterPopulationEstuaryMitochondrial DNARange (aeronautics)Population geneticsFisheryEcologyGeneGenetics

Abstract

fetched live from OpenAlex

The eastern oyster, Crassostrea virginica Gmelin, is a common inhabitant of estuarine and coastal waters from maritime Canada through the Gulf of Mexico. Because mitochondrial DNA haplotypes exhibit a distinct genetic break between Atlantic and Gulf oysters at Cape Canaveral, Florida, the degree of divergence between Atlantic and Gulf oysters in nuclear genes is less well known. We examined patterns of variation in four nuclear loci using restriction fragment analysis of amplified DNA (PCR-RFLP) in oysters (n = 317) from 16 locations spanning the geographic range of C. virginica. Marked differentiation was observed between Atlantic and Gulf populations, with smaller differences detected between North Atlantic and South Atlantic populations. Intermediate populations were observed in both eastern and northwest Florida. Regional population structure was also evident in the Gulf Coast, with Texas oysters highly divergent from all other 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 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)0.000
metaresearch head score (Gemma)0.000
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 score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

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 head0.033
GPT teacher head0.314
Teacher spread0.281 · 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

Citations35
Published2005
Admission routes1
Has abstractyes

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