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Record W4292513315 · doi:10.47193/mafis.3532022010907

Microplastics found in the World Heritage Site Cocos Island National Park, Costa Rica

2022· article· en· W4292513315 on OpenAlexfundno aff
Angelica Astorga, Andrea Montero-Cordero, Geiner Golfin-Duarte, Andrea García-Rojas, Hannia Vega-Bolaños, Fausto Arias-Zumbado, Daniela Solís-Adolio, Karol Ulate

Bibliographic record

VenueMarine and Fishery Sciences (MAFIS) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
FundersCanadian Celiac Association
KeywordsFisheryEnvironmental scienceMicroplasticsFishingBiotaMarine habitatsPelagic zoneOceanographyMarine protected areaMarine lifeSedimentHabitatOtterGeographyEcologyGeologyBiology

Abstract

fetched live from OpenAlex

Microplastics (MPs) defined as ‘small’ pieces of plastic < 5 mm have been found in almost every marine habitat around the world, and studies have shown that we can find them in the ocean surface, the water column, the seafloor, the shoreline, in biota and in the atmosphere-ocean interface. This study aimed to assess both marine and freshwater environments of Cocos Island, Costa Rica, in the Pacific Ocean, by sampling sediments and biota to determine the presence and abundance of this pollutant. Sediment samples were superficial and weighed one kilogram each. For the sampling of freshwater fish and shrimps, nonselective capture with small nets was made in rivers with access by land, while fishing rods were used for the marine fish sampling, and cage and scuba diving for lobsters. Plastics were found in all types of samples: 93% of marine sediments, 32% of freshwater sediments, 20% of freshwater fish, 15% of freshwater shrimps, 27% of marine fish, and 51% of marine lobsters. Like many reports around the world, it was expected to find MPs at marine samples, and it was concluded that ocean currents, tourism activities, and discarded fishing gear from illegal fishing activities could be the sources of marine pollutants. In contrast, the amount of MPs found in freshwater environments was not expected. Their possible sources are unclear at this moment.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

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