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Record W2973933859 · doi:10.15298/invertzool.10.1.05

The ratio of species of Atlantic and Pacific origin in modern Arctic fauna of bivalve molluscs

2013· article· en· W2973933859 on OpenAlexaboutno aff
Elena M. Krylova, Д. Л. Иванов, A. N. Mironov

Bibliographic record

VenueInvertzool · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsFaunaArcticOceanographyThe arcticFisheryBiologyEcologyGeographyGeology

Abstract

fetched live from OpenAlex

The present work aims to estimate the ratio of species of the bivalve molluscs of the Atlantic and the Pacific origin in different geographical and bathymetrical regions of the Arctic basin. Seven shallow-water regions of the Arctic, with depths of 0300 m, (the Norwegian, Barents, Kara, Laptev, East Siberian, Chukchi and Beaufort Seas) and three deep-sea regions with depths exceeding 1000 m (the Norwegian and Greenland Basins, Nansen and Amundsen Basins, Canada Basins) are considered. For the identification of origin we combined fossil records with records of the distribution of living genera and, when possible, used molecular genetic data. The distribution patterns of 265 species from 132 genera were analysed. The share of species of Atlantic origin decreases in marginal Eurasian seas from the Norwegian Sea to the Chukchi Sea, and then increases in the Beaufort Sea. The share of species of Pacific origin is higher only in the Chukchi and Beaufort Seas, the species of the Atlantic and the Pacific origin are equally represented in the East-Siberian Sea. The share of species of the Atlantic origin is much higher in all deep-sea regions. Many taxa of bivalves that dispersed into the Arctic from the North Pacific also penetrated into the North Atlantic. In contrast, most taxa of the Atlantic origin remained in the Arctic Ocean, having stopped at the Bering Strait. Differences between the Arctic boundaries, the Arctic -Atlantic (the Greenland-Iceland-Faeroe Ridge) and the Arctic -Pacific (the Bering Strait) as barriers for dispersal are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.266

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 head0.029
GPT teacher head0.206
Teacher spread0.177 · 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

Citations14
Published2013
Admission routes1
Has abstractyes

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