Modeling Green Infrastructure Components in a Combined Sewer Area
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
The purpose of the project described in this chapter is to evaluate the water quality and quantity improvement benefits of a large scale application of green infrastructure control practice retrofits in an entire monitored subcatchment. These green infrastructure controls have been shown, when implemented and maintained properly, to increase retention at the runoff source. This increased retention decreases the runoff volume entering the drainage system and the demand on a drainage system. Many researchers have reported findings that support these observations for individual or small neighborhood applications at LID (low impact development) conferences. This project is unique in that a large area is being retrofitted and will be monitored for many different scales to measure these benefits. This chapter describes a preliminary modeling effort that is being used to assist in the design of the practices at the site, showing how complementary practices that can be constructed on private property which will enhance the performance of the curb-side biofilters to be constructed in the public right-of-way.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it