Microplastics in aquatic systems: A review of occurrence, monitoring and potential environmental risks
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.
Bibliographic record
Abstract
Plastic particles of microscopic scale are present in the aquatic environment, especially at lower trophic trophic levels where the number of microplastics (MPs) ingested per gram wet weight is greater than in higher trophic levels. The presence of microplastics (MPs) in water bodies is caused by anthropogenic activities and waste disposal negligence such as disposal waste, disposal waters, industry, agriculture, fishing, ship traffic, and environmental factors, which have been monitored in remote locations by bioindicators and tracking tools such as numerical modeling and life cycle inventories. Our review process shows that more studies are conducted in the northern hemisphere, and most of the analyzed MPs are either Polyethylene (PE), Polypropylene (PP), or Polystyrene (PS). Moreover, several papers report potential adverse effects on the biota can be disturbances in feeding, mobility, and reproduction that may cause lethal or sub-lethal consequences. Thus, to reduce the environmental impact and the effects on species exposed to microplastic particles we suggest research that helps in the establishment of limits of occurrence of these materials according to their physical-chemical properties, uniform measuring standards, and their toxicity to the environment to promote legislation for the control and mitigation this contamination.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it