Bibliographic record
Abstract
Wetlands have been increasingly identified as important in ameliorating the impacts of stormwater flow. Key to understanding the attributes of wetlands is determining the behaviour of flow through wetlands. This report presents the average flow velocities for two wetland types (scrub-shrub and emergent) found within a natural wetland through the use of dye tracer tests. The study area was divided into wetland segments using the US Fish and Wildlife Service's National Wetland Inventory (NWI) classification scheme and mapped using a Global Positioning System (GPS). During different flow levels, dye was pumped into the headwaters of the wetland. The dye was collected with auto-samplers at several sampling stations located at the transition zones between wetland segments. Results indicate that there is a significant difference in the flow characteristics between scrub-shrub and emergent wetland types. Differences were also found between leaf-on and leaf-off seasons. High data variability was found for samples collected furthest from the dye injection point. The range of velocities observed for scrub-shrub classified segment during the leaf-on season was from 1.11 to 23.08 m/min. For the emergent classified segment, the range of velocities was from 1.54 to 7.68 m/min. Differences in the velocities between the two types of wetlands could be attributed to the sinuosity of the stream channels and the vegetation in the floodplain that is associated with each type of
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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) | 0.001 | 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 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".