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Record W6962801698 · doi:10.15468/e6f3my

Records of Boeckella poppei (Mrazek, 1901) (Calanoida: Centropagidae) obtained during Ukrainian Antarctic Expeditions

2023· dataset· en· W6962801698 on OpenAlexaff

Bibliographic record

VenueNERC Open Research Archive (Natural Environment Research Council) · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPleistoceneGlacial periodZooplanktonCopepodBiogeographyLast Glacial Maximum

Abstract

fetched live from OpenAlex

The copepod Boeckella poppei (Mrazek, 1901) (Calanoida: Centropagidae) is one of the Maritime Antarctic’s most common freshwater zooplankton species. It was first reported from the Antarctic in 1961–1962 on Signy Island (South Orkney Islands). Although the in situ refugia hypothesis suggests that this species survived in regional refuges throughout multiple Pleistocene glacial cycles. Since then, its presence has been confirmed from many locations in the Maritime Antarctic. The species is also present on sub-Antarctic South Georgia and in lakes around the Prince Charles Mountains in Continental Antarctica, and in southern South America. However, in the central part of the western Antarctic Peninsula, specifically in the Wilhelm Archipelago, there have to date been only a few disjointed records of the species and its distribution here has not been documented in any detail beyond being noted as numerous both north and south of the Ukrainian Antarctic Akademik Vernadsky station. Here, we report B. poppei in 51 samples obtained from 23 lakes on eight islands in the Wilhelm Archipelago. Living specimens were observed both in the ice-free summer season and well after the formation of surface ice on water bodies. Adult specimens were present in all samples, while the copepodid stages were only rarely observed and nauplii were not encountered.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.153
GPT teacher head0.375
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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Same venueNERC Open Research Archive (Natural Environment Research Council)French-language works237,207