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Record W3084574483

The Significance of Feed-Borne Mycotoxins in Aquaculture

2008· article· es· W3084574483 on OpenAlexaff
Trevor K. Smith

Bibliographic record

VenueAvances en Nutrición Acuicola · 2008
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMycotoxinFusariumAflatoxinBiologyFumonisinPreharvestAquacultureBiotechnologyBotanyPostharvestFish <Actinopterygii>Fishery
DOInot available

Abstract

fetched live from OpenAlex

Mycotoxins are fungal metabolites which can reduce growth and adversely alter metabolism of aquaculture species.The pathological states arising from the consumption of feeds contaminated with mycotoxins are mycotoxicoses.Mycotoxins can be formed in the field preharvest and may continue to be formed under suboptimal storageconditions postharvest. Some fungi, such as Aspergillus flavus, are usually found in areas with tropical and semitropicalclimates. This mold produces the carcinogenic hepatotoxin, aflatoxin. Numerous studies have shownaquaculture species to be particularly susceptible to aflatoxicosis. Fusarium fungi, however, are more common intemperate climates and Fusarium mycotoxins are likely the most common mycotoxins on a global basis. TheFusarium mycotoxins are not typically carcinogenic but aquaculture species have been shown to be sensitive to thepresence of feed-borne Fusarium mycotoxins.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.236
Teacher spread0.221 · 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
GenreReview

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 routes1
Has abstractyes

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