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Record W2010121458 · doi:10.1163/15685403-00003191

Nuclear mitochondrial DNA (numt) in the Atlantic rock crab Cancer irroratus Say, 1817 (Decapoda, Cancridae)

2013· article· en· W2010121458 on OpenAlexaboutno aff
Sindri Gíslason, Jörundur Svavarsson, Halldór Pálmar Halldórsson, Snæbjörn Pálsson

Bibliographic record

VenueCrustaceana · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersHáskóli ÍslandsIcelandic Ministry of Fisheries and Agriculture
KeywordsMitochondrial DNABiologyPopulationPopulation bottleneckPhylogeographyZoologyNuclear DNACytochrome c oxidase subunit ICarcinologyNuclear geneDecapodaEvolutionary biologyGeneticsPhylogeneticsGeneCrustaceanMicrosatellite

Abstract

fetched live from OpenAlex

A study on the origin of a newly colonized population of the Atlantic rock crab, Cancer irroratus Say, 1817, in Icelandic coastal waters based on mtDNA variation revealed a challenging problem. Variation of the mitochondrial cytochrome oxidase subunit I gene (COI), which has played a pivotal role in phylogeographic studies, was assessed. Most individuals were found to carry two or more different genetic fragments and several ambiguous sites, with two segregating nucleotides, both within the Icelandic population and in samples from North America (Newfoundland, New Brunswick and Nova Scotia). Analyses of the DNA fragments, from clones and separate DNA extractions from the mitochondria and nucleus from undeveloped eggs and their mothers, support that ambiguous sites are caused by mitochondrial fragments incorporated in the nuclear genome (numts). A comparison of the variation in the newly colonized population in Iceland and the North American populations did not reveal any detectable bottleneck in the Icelandic population.

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 score0.009
Threshold uncertainty score0.017

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 head0.010
GPT teacher head0.227
Teacher spread0.216 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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