Channel-Bed Degradation in Major Oklahoma Streams Arkansas River Part III of V (FHWA-07-06 2191)
Bibliographic record
Abstract
The purpose of this research is to analyze the flowline data and relate it to the degradation of the river bed at bridge locations in the river. This information may then be used to replace or rehabilitate those bridges that experienced severe degradation. This report evaluates channel degradation in 463.85-mile reach of North Canadian River in Oklahoma. In this study, the 463.85 mile river length is divided into three Reaches: Reach 1- river station (RS) 1 (Bridge Key 16523) to Canton Dam, Reach 2- Canton Dam to Overholser Dam, and Reach 3- Overholser Dam to river station (RS) 40 (Bridge Key b15585). The flowlines of North Canadian River in Oklahoma were observed over a long period. RS 2 in reach 1 shows the maximum degradation of 4.63 feet from 1965 to 2000. In reach 2, RS 9 shows the maximum degradation of 5.83 feet in 58 years. Similarly, in reach 3, RS 33 shows the maximum degradation of 17.67 feet in 38 years. The maximum aggradation of 9.75 in 20 years is observed at RS 21. The North Canadian River in Oklahoma has experienced degradation over 10 feet at three river stations which have been serving more then 10 years. River station (RS 23) at S.H. 270, RS 33 at I-40, and RS 39 at S.H. 84 have experienced degradation of 15.6 feet in 11 years, 17.67 feet in 38 years, and 15.0 feet in 47 years, respectively. These bridges are defined as critical and recommended for rehabilitation or replacement in the replacement cycle. A detailed hydraulic and geotechnical analysis should be performed before reconstruction. It is recommended that degradation of tributaries is evaluated to determine the structures where flowline is severely degrading in North Canadian River basin.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".