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Estimating Genetic Diversity of the Invasive Tunicate Didemnum vexillum in Global Populations

2013· article· en· W2078589 on OpenAlexfundno aff
Elizabeth S Gutierrez, Sarah Cohen

Bibliographic record

VenueBiochimie · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
FundersFisheries and Oceans CanadaChina Scholarship CouncilSan Francisco State UniversityCalifornia Department of Fish and WildlifeWashington Department of Fish and WildlifeNational Science Foundation
KeywordsTunicateGenetic diversityBiologyDiversity (politics)GeographyPopulationEcologyDemographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Populations in Point Reyes National Seashore The presence of the invasive tunicate Didemnum vexillum in the San Francisco Bay was first documented in 1993, and it has since been found in Point Reyes National Seashore. In 2012, 38 samples of D. vexillum were collected from two locations in Point Reyes: Tomales Bay and Drake’s Estero. This summer, DNA from the 38 samples was extracted and analyzed using microsatellite and mitochondrial markers. The goal of this analysis was to determine the level of genetic connectivity between these two populations and their relationship to other global populations in order to answer important ecological questions regarding their spatial patterns and rates of migration. The results of our analysis are preliminary; our goal is to obtain more samples of D. vexillum from the SF Bay area, and analyze additional loci.

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)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.023
GPT teacher head0.225
Teacher spread0.202 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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