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Record W4400906143 · doi:10.1080/00318884.2024.2377845

The genus <i>Brachysira</i> (Brachysiraceae, Bacillariophyceae) in the Arctic with the description of two new species

2024· article· en· W4400906143 on OpenAlexaboutno aff
Charlotte Goeyers, Koen Sabbe, Elie Verleyen, Bart Van de Vijver

Bibliographic record

VenuePhycologia · 2024
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsnot available
FundersVlaamse regeringFonds Wetenschappelijk Onderzoek
KeywordsBiologyGenusArcticZoologyEcology

Abstract

fetched live from OpenAlex

Two unknown diatoms belonging to the genus Brachysira were found during a survey of the moss-inhabiting diatom flora in Canada, Greenland, Iceland and Spitsbergen. Detailed light and scanning electron microscopy revealed sufficient morphological differentiation in valve dimensions and shape, striae density, and ultrastructure for them to be described as new species. The description of Brachysira louiseboydiana sp. nov. and B. hutchisoniana sp. nov. brings the total number of Brachysira species globally to 132. Formal descriptions are presented, each illustrated by light and scanning electron micrographs, and the new species are compared with similar Brachysira taxa worldwide. Additionally, four previously described species which were also observed in the Arctic mosses are discussed. Our findings contribute to a better understanding of the Arctic terrestrial diatom flora.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.277
Teacher spread0.242 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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