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Record W6888018725 · doi:10.17895/ices.pub.25636158

Determination Of New Algal Neurotoxins (Spirolides) Near The Scottish East Coast

2001· other· en· W6888018725 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Council for the Exploration of the Sea (ICES) · 2001
Typeother
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsDinoflagellatePhytoplanktonAlgal bloomMarine toxinEast coastAbundance (ecology)

Abstract

fetched live from OpenAlex

No abstracts are to be cited without prior reference to the author.Spirolides were discovered by Hu et al. 1995 in scallops from Canada. They represent eight macrocyclic polyethers with molecular weights ranging from 691 to 711. In 2000, Cembella et al. identified the dinoflagellate Alexandrium ostenfeldii as producer of these toxins. In European waters the presence of spirolide producing organisms was proven by investigation of a cultured isolate of A. ostenfeldii from Limfjord, Denmark. To obtain further information about the occurrence of spirolides in Europe some 200 phytoplankton samples were taken from surface water during a reasearch cruise in May 2000. Samples were analysed on board of the research vessel for several algal toxins by LC-MS. Spirolides were detected in 75% of the samples collected in a large area (~45.000 km2) in the North Atlantic and along the Scottish east coast. The contamination differed concerning both the amounts and the relative abundance of the spirolide toxins. Conventional extraction of the phytoplankton samples resulted in low spirolide concentrations. Furthermore, similar structures (differing often only in one double bond) and the lack of commercially available external standards rendered especially quantification of spirolide toxins. Therefore, additional clean-up and concentration steps using size-exclusion chromatography were introduced enabling identification of individual spirolides by application of LC-MS-MS.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.000
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 head0.102
GPT teacher head0.266
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2001
Admission routes1
Has abstractyes

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