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Record W4400618451 · doi:10.1016/j.hazadv.2024.100445

Ecological risk assessment framework for microplastics in agricultural soils amended with biosolids

2024· article· en· W4400618451 on OpenAlex
Asta Hooge, Kristian Syberg, Tony R. ‎Walker

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Hazardous Materials Advances · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsDalhousie University
FundersDepartment of Environment and Science, Queensland Government
KeywordsBiosolidsMicroplasticsEnvironmental scienceBiotaSoil waterSoil biologyAgricultureEcosystemSoil healthEcologyRisk assessmentEcosystem servicesEnvironmental engineeringSoil organic matterSoil scienceBiology

Abstract

fetched live from OpenAlex

This study conceptualizes a framework for ecological risk assessment of microplastics (MPs) in agricultural soils amended with biosolids. MPs in biosolids pose risks to soil biota, affecting soil health. The study highlights the complexity of assessing MP risks, considering not only MPs abundance, but also properties such as size, shape, and type. To develop this framework for ecological risk assessment of MPs in agricultural soils amended with biosolids, a literature review was conducted to systematically assess effects of different MPs properties on soil organisms. Earthworms, springtails, and the microbiome were considered as receptors. The study highlights the importance of understanding MPs fate in soil, since effects on soil biota can be time dependent. Furthermore, results show that organisms respond differently to similar MPs properties, increasing the complexity of assessing MPs risks in terrestrial ecosystems. This complexity also relates to MPs effects on soil properties, and indirect effects on soil biota. Further research is needed to address knowledge gaps for effects of specific MPs properties to better assess and manage ecological risks in agricultural systems.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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