MétaCan
Menu
Back to cohort
Record W2126230143 · doi:10.1139/f00-180

Molecular phylogenetics of circumglobal <i>Euphausia</i> species (Euphausiacea: Crustacea)

2000· article· en· W2126230143 on OpenAlexvenueno aff
Simon Jarman, Nicholas G. Elliott, Stephen Nicol, Andrew McMinn

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsEuphausiaEuphausiaceaKrillSympatric speciationBiologyAntarctic krillSympatryGenetic divergenceZoologyEvolutionary biologyEcologyGenetic diversityPopulation

Abstract

fetched live from OpenAlex

The speciation history of members of the krill genus Euphausia with continuous circumglobal distributions was investigated by phylogenetic and molecular clock analyses of their mitochondrial DNA. Molecular clock estimates for divergence times of Antarctic and sub-Antarctic species of Euphausia of ~15 million years ago were fairly close to the time of formation of the Antarctic Convergence, consistent with their vicariant speciation. However, the confidence limits quantified for these time estimates were large at ~11 million and ~25 million years. A divergence time of between ~10 million years for Euphausia triacantha and Euphausia longirostris suggested that migration across oceanographic fronts like the Antarctic Convergence may also lead to speciation in krill. Genetic differentiation between Euphausia vallentini and Euphausia lucens was found to be relatively minor and occurred between 0.76 million and 1.65 million years ago. These species have overlapping ranges, suggesting that there is potential for sympatric genetic differentiation in krill.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.212
Teacher spread0.194 · 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

Citations32
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic SciencesSame topicMarine Biology and Ecology ResearchFrench-language works237,207