Adverse outcome pathways and in vitro toxicology strategies for microplastics hazard testing
Bibliographic record
Abstract
The human health impacts of microplastics exposure remain uncertain, though they are of growing global concern. The strategic use of the adverse outcome pathways (AOPs) framework will permit leveraging of existing knowledge on disease mechanisms of other stressors to improve our understanding of the toxicological impacts of microplastics and enable identification of key biological events within a causal framework linking microplastic exposures to adverse outcomes. Here, the AOP framework is briefly described. Considering that inflammation, oxidative stress and cytotoxicity are among the reported outcomes of microplastics exposure in vitro or in vivo and because these key events form the AOP for tissue injury, an adverse key event preceding tissue dysfunction and disease, the review describes a tiered microplastics testing strategy targeting these events. Minimum considerations for in vitro testing of microplastics are also summarised.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
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 teacher head, 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".