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Record W6889804113 · doi:10.26071/02c0aa6b-2043-4461

Microplastic abundance in Placentia Bay, Newfoundland (2021)

2024· dataset· en· W6889804113 on OpenAlexaffabout

Bibliographic record

VenueOGSL repository · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMicroplasticsBayPlanktonSedimentAbundance (ecology)Plastic pollution

Abstract

fetched live from OpenAlex

Microplastics are plastic particles ranging from 1 µm to 5 mm. We studied the microplastic concentration in surface waters as well as the sediment of Placentia Bay, Newfoundland, Canada. Surface water samples were collected with a Plankton as well as a Neuston net at nine stations and sediment samples were collected with Van-Veen grab at six stations within the Bay in the summer of 2021 and microplastics >300 µm were isolated. The isolated microplastics were counted and categorized by size, shape, and color. Microplastic polymer composition was identified on a representative subsample by Raman microspectroscopy. This dataset is divided into the individual visual counts for the Plankton net samples, the Neuston net samples, and the sediment samples. Additionally, the Raman microspectroscopy identification is listed separately. This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.108

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 head0.005
GPT teacher head0.237
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes2
Has abstractyes

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