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Domoic Acid

2000· book-chapter· en· W4416949119 on OpenAlexaboutno aff
Neil R. Cashman

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsnot available
Fundersnot available
KeywordsDomoic acidShellfishShellfish poisoningParalytic shellfish poisoningToxinMarine toxinIngestion

Abstract

fetched live from OpenAlex

Abstract Domoic acid (DA), a congener of the excitotoxin kainic acid (KA), is structurally related to the neurotransmitter glutamate (20,67,92). DA is found in the environment as a product of some sea organisms. This compound was first chemically identified following its isolation in 1957 from the seaweed Chondriaarmata found off the coast of Japan. In Japan, DA contained in seaweed extracts has been used as a home remedy to treat intestinal parasites, and as an insecticide (17,45). DA, purified from the seaweed, has been given orally to children in Japan at low doses (not exceeding 0.5 mg/kg); no ill effects have been reported (17). In late November 1987, reports of individuals who acutely developed gastrointestinal symptoms, confusion, memory loss, and motor symptoms were received by the Canadian Department of National Health and Welfare (56,77). The four index cases had eaten mussels cultured in eastern Prince Edward Island within 24 h of symptom onset. Additional patients were rapidly identified throughout Canada by an active search. Leftover mussels were analysed for paralytic shellfish toxin by a mouse bioassay: test mice manifested involuntary scratching of their shoulders with their hindlegs, a reaction not typical of paralytic shellfish poisoning. The distribution of mussels was suspended, and a public warning against eating mussels from eastern Canada was issued (56,77).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.006

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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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