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Record W3115499526 · doi:10.22215/etd/2020-14241

Are Aquatic Invertebrates Retaining Microplastics in the Ottawa and Rideau Rivers?

2020· dissertation· en· W3115499526 on OpenAlexaffabout
Alexa D’Addario

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsCarleton University
Fundersnot available
KeywordsMicroplasticsInvertebrateMalacostracaFisheryEnvironmental scienceEcologyGeographyBiologyCrustacean

Abstract

fetched live from OpenAlex

Microplastics are microscopic sized plastics, 5mm or less in length.Microplastics are produced directly for cleaning and cosmetic products, and indirectly through the physical and chemical breakdown of larger plastic materials.These plastic particles can take thousands of years to fully decompose, and thus ultimately may end up in our waterways.Microplastics have been reported in the Ottawa and Rideau Rivers but little information exists on whether these microplastics are being ingested by animals in these rivers.One hundred and fifty invertebrates of classes Malacostraca and Bivalvia were collected from the Rideau River and 150 invertebrates of classes Malacostraca and Insecta from the Ottawa River.Nearly every single individual had microplastics in them and there was no significant difference (p-value = 0.26) in the number of invertebrates with microplastics in the Ottawa River versus the Rideau River.Microplastic concentrations were, however, significantly related to taxon (p-value = 2.67e-13) and weight (p-value < 2.2e-16).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.924

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.209
Teacher spread0.199 · 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 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

Citations2
Published2020
Admission routes2
Has abstractyes

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