Continuous Surface Runoff, Groundwater and Water Quality Modeling of the C-100 Basin, Miami-Dade County, Florida
Bibliographic record
Abstract
C-100 Basin is a 40.6 square mile (105 km 2 ) area in southern Miami-Dade County (Florida) with an approximate elevation range of 5 to 15 ft (1.5 to 4.6 m) NGVD.The basin is an urbanized area of the county, with a western boundary only a few miles from the Florida Everglades, and it drains eastward to Biscayne Bay through the C-100 canal and its tributary canals.There are three control structures in the basin which maintain groundwater levels, provide flood relief, and prevent saltwater intrusion from the bay.Development in South Miami-Dade County (including the C-100 Basin) has heightened concerns about the impact of stormwater runoff on the quality and quantity of water discharged into Biscayne National Park via the canals in these areas.The primary objective of this planning effort is to improve the quality, quantity and periodicity of freshwater discharges to, and prevent degradation of, Biscayne National Park.Parts II and III of the National Pollutant Discharge Elimination System (NPDES) permit requires implementation of a comprehensive Stormwater Management Master Plan for Miami-Dade County to provide pollutant load reduction and water quantity control by the construction/retrofitting of stormwater management systems.Unique modeling techniques were used in order to accurately calibrate the
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".