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Record W2144767484 · doi:10.1139/f08-136

Postconsumption domoic acid generation by the diatom Pseudo-nitzschia multiseries as a factor in depuration models

2008· article· en· W2144767484 on OpenAlexaffvenue
James E. Stewart

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsBedford Institute of Oceanography
Fundersnot available
KeywordsDomoic acidMytilusNeurotoxinMusselBiologyDiatomShellfishBivalviaZoologyToxinIncubationEcologyFisheryAquatic animalMolluscaBiochemistryFish <Actinopterygii>

Abstract

fetched live from OpenAlex

A theoretical analysis of the clearance of the neurotoxin domoic acid (DA) from molluscan shellfish, notably the blue mussel ( Mytilus edulis ), indicated that the depuration simulation did not account for the maximum accumulation of DA nor for the failure to eliminate all of the DA from the mussels in the anticipated time. Subsequent examination of relatively young, neurotoxin-producing cells of Pseudo-nitzschia multiseries concentrated 8.5- to 10-fold and reincubated in the dark, however, showed significant amounts of DA were produced within the first 24 h of incubation. The possible production of DA, after ingestion, could generate an additional contribution to the toxin burden in the mollusc, which, when included in the depuration simulation, would explain part or all of the observed disparity in the depuration experiment.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.989

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 studies0.0010.001
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.245
Teacher spread0.206 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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