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Routine DNA barcoding of Canadian Gracilariales (Rhodophyta) reveals the invasive species <i>Gracilaria vermiculophylla</i> in British Columbia

2009· article· en· W1975686800 on OpenAlexaffabout
Gary W. Saunders

Bibliographic record

VenueMolecular Ecology Resources · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBiologyGracilariaDNA barcodingTaxonCeramialesRajaBotanyEcologyZoologyAlgae

Abstract

fetched live from OpenAlex

As part of an extensive DNA-based floristic survey of marine macroalgae in Canadian waters, an unexpected sequence for a Gracilaria sp. was generated from British Columbia. Before further molecular analyses and corresponding morphological/anatomical observations this mystery sequence was temporarily entered into our database as Gracilaria BCsp. Continued sampling uncovered this species from four additional locations. A timely collaboration with international colleagues introduced sequences from the invasive Gracilaria vermiculophylla into our cytochrome c oxidase I alignments - these a perfect match to BCsp indicating that this species occurs in British Columbia. A discussion of the origin of this taxon in Canadian waters, whether natural or introduced, is provided.

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 score0.082
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.174
Teacher spread0.164 · 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

Citations132
Published2009
Admission routes2
Has abstractyes

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