Interactions of Phosphorus with Anthropogenic and Engineered Particulate Matter as a Function of Mass, Number and Surface Area
Bibliographic record
Abstract
Particulate matter (PM) is ubiquitous in modern urban environments, generated by most anthropogenic activities. Traffic activities, for example, generate significant loads of PM, as do land-disturbing and construction activities. There are also significant sources of biogenic particulate loads in the modern urban environment, such as vegetation. While the ubiquity of PM is generally recognized, the sources, characteristics, transport, treatment and impact of particulate matter in urban runoff (rainfall or snow) continue to be the subject of lively debate. Such knowledge is fundamentally important for modeling urban runoff particulates, particularly regarding the transport and fate of chemicals such as phosphorus and metals. As modeling capabilities begin to couple hydrology, chemistry and PM, improved models such as the USEPA stormwater management model (SWMM) require defensible data and algorithms. Three common topics of debate and new experimental results are presented. The first concerns particle size distributions (PSDs) in urban runoff.
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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) | 0.000 | 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".