Unlocking Passive Collection of Microplastics in Coral Reefs by Adhesion Measurements
Bibliographic record
Abstract
Microplastics (MPs) pollution poses a significant threat to marine ecosystems, with MPs accumulating from various sources and ultimately settling on the seabed. Notably, corals play a crucial role in capturing MPs, primarily through their surface mucus rather than ingestion. This study explores the mechanisms behind MP capture by live elegance corals, examining their interfacial forces in comparison to Scleractinia coral skeletons and model coral skins. Our findings reveal that live elegance corals exhibit strong adhesion forces that effectively trap MPs, a trait absent in other studied surfaces. Moreover, the consistent pull-off force required to remove MPs from live corals, regardless of plastic type (polystyrene or polyethylene), indicates a universal force barrier for scavengers. By leveraging traditional adhesion measurement techniques, our research underscores the essential function of coral mucus in MP capture and offers valuable insights for conservation strategies aimed at mitigating MP pollution in marine environments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".