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Record W6962997571 · doi:10.17843/rpmesp.2009.264.1413

Domoic acid and amnesic shellfish poisoning in public health

2009· article· en· W6962997571 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsnot available
Fundersnot available
KeywordsProteogenomicsFusible alloyNucleofectionLafora diseaseCircumstantial evidenceHyperlactatemia

Abstract

fetched live from OpenAlex

Domoic acid is a sea biotoxin that was first identified to produce food poisoning in more than a hundred people in Canada, in 1987, with some deaths reported, after intake of contaminated mussels. As part of the clinical presentation, anterograde amnesia is highlighted. As it had not been seen before with any know biotoxin or drug, and could be permanent, the syndrome was called “amnesic poisoning due to shellfish”. In the histopathological examination of the brain of the dead patients, the hippocampus was one of the most affected, showing cellular necrosis in some areas, which explains the irreversible deterioration of the memory. Many shellfish species, filtrating fish, krill and marine animals can get contaminated by the biotoxin , which is produced by microscopic algae, which are often responsible of the “red tides”. The biotoxin can reach the human being through the food chain. In this article, we revise the toxic outbreaks in mammals and marine birds, causing death due to domoic acid, the mechanism of toxicity production, its agonism in the glutamatergic receptors, its importance in public health, the risk they pose to human health and ought to be evaluated, and the diffusion of the biotoxin throughout the world, including the Pacific Ocean and the possible reasons of this diffusion, as well as its ecologic and economic importance, which has made it surveillance compulsory in all the world.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.243
Teacher spread0.229 · 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.

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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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