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Record W4393576257 · doi:10.5281/zenodo.8274608

Plastic pollution within "The Gully" Marine Protected Area of the Scotian Shelf, Northwest Atlantic

2023· dataset· en· W4393576257 on OpenAlexaffabout
Noreen E. Kelly, Laura Feyrer, Hal Whitehead

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsDalhousie UniversityFisheries and Oceans Canada
Fundersnot available
KeywordsOceanographyPollutionGeographyEnvironmental scienceGeologyEcology

Abstract

fetched live from OpenAlex

This dataset contains information on plastic particle densities, characteristics (colour, morphology), size, and polymer types collected from seawater in "The Gully" Marine Protected Area between 1990 and 2019. Also included are the characteristics, sizes, and polymer types of ingested debris removed from the stomachs of two Endangered northern bottlenose whales (Hyperoodon ampullatus) stranded in Canada in 2019 and 2021. These data appear across 4 tabs in a single .xlsx file, connected by a SampleID column. Please see the following publication for full details: Kelly, N.E., Feyrer, L., Gavel, H., Trela, O., Ledwell, W., Breeze, H., Marotte, E.C., McConney, L. and Whitehead, H., 2023. Long term trends in floating plastic pollution within a marine protected area identifies threats for Endangered northern bottlenose whales. Environmental Research, 227, p.115686. https://doi.org/10.1016/j.envres.2023.115686.

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)0.002
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.478
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.007
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.009

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 head0.199
Teacher spread0.182 · 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
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
Published2023
Admission routes2
Has abstractyes

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