Supplementary material from "Temporarily Trapped: Stormwater Pond Sediment is a Key Transient Sink for Microplastic Debris"
Bibliographic record
Abstract
Average microplastic abundances in each of 15 stormwater ponds in London, Canada ranged from 0.7 ±0.7 particles per gram of dry weight sediment (g-1 dw) to >2323 ±4643 g-1 dw. Omitting one wetland cell and one hybrid pond produced a significantly higher median microplastic abundance for forebay versus main basin samples (p = 0.0058), and inlets produced greater mean abundances than outlets and open areas (20 ±49, 10 ±17, 4 ±4 g-1 dw, respectively). Considering all 15 ponds, the industrial/commercial and construction ponds produced higher means (684 ±2387 g-1 dw; 19 ±22 g-1 dw) than residential and open counterparts (6 ±10 g-1 dw; 6 ±11 g-1 dw). Fragments were the most common particle type in all but one pond, and fibre concentrations relative to other particle types were greatest in residential ponds. Copious rubber particles in an industrial pond are considered tire wear due to proximity to manufacturers’ parking lots and loading docks, and to a school for automotive technology training. Paint/coating chips accounted for 25% of the fragments analyzed. With greater microplastic abundances than in sediment from tributaries, lakes, and beaches of the same watershed, stormwater ponds prove to be exceptional transient sinks for microplastic debris.
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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 | 0.000 |
| 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) | 0.681 | 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".