<i>In situ</i>spatially distributed field measurements of transverse dispersion of a wastewater effluent in an extended natural meandering river
Bibliographic record
Abstract
A new in situ technique is introduced and tested for the field tracer study in meandering rivers. Real-time position data from a global positioning system were integrated with in situ fluorometer data, thereby providing a 2D spatial distribution of the tracer concentration. The method was used in an intensive tracer field survey over an 83 km reach of the North Saskatchewan River downstream of the capital region wastewater treatment plant. Hydrodynamics data were also collected simultaneously by measuring streamwise water velocity and depth using an acoustic Doppler current profiler. The full mixing length for this surface bank outfall at the observed low flow condition was inferred to be 130 km. The employed technique effectively improved the understanding of mixing patterns in complex flows by providing tracer and hydrodynamic data with high spatial and temporal resolution.
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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 | 0.002 | 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".