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Record W2192822521 · doi:10.5539/jas.v8n1p8

Endosulfan: Its Isomers and Metabolites in Commercially Aquatic Organisms from the Gulf of Mexico and the Caribbean

2015· article· en· W2192822521 on OpenAlexvenueno aff
Gabycarmen Navarrete-Rodríguez, Cesáreo Landeros-Sánchez, Alejandra Soto-Estrada, Fabiola Lango‐Reynoso, Arturo Pérez‐Vázquez, Iourii Nikolskii G.

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsnot available
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsEndosulfanBiotaPesticideShellfishCrassostreaBiologyAcaricideToxicologyFisheryAquatic ecosystemPesticide residueFish <Actinopterygii>Aquatic animalEcologyOyster

Abstract

fetched live from OpenAlex

&lt;p&gt;The organochlorine pesticide endosulfan is an insecticide and acaricide used on a variety of crops around the world. Its adverse effects on public health and aquatic biota have been widely documented in several studies, which are closely related to their primary route of exposure, by eating food contaminated with this compound. Therefore, it is necessary to concentrate the information in order to analyze and understand its impact on public health. The present objective is to review the characteristics of endosulfan, its isomers and their presence in aquatic organisms of commercial importance in the Gulf of Mexico and the Caribbean. The aquatic organisms involved were molluscs, crustaceans and fish. The highest concentrations of endosulfan have been detected in oysters, &lt;em&gt;Crassostrea virginica&lt;/em&gt;, with a maximum value of 99.48±16.21 ng g&lt;sup&gt;-1&lt;/sup&gt;. Although the use of this insecticide for pest control worldwide is prohibited, research conducted in the Gulf of México and Caribbean Sea indicate that it is still used, which will affect future public health and consumers.&lt;/p&gt;

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.226
Teacher spread0.203 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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