Physical Model Study, CSO Diversion through Bottom Outlet Slot, Site DS-4 Upper Rouge Tunnel System
Bibliographic record
Abstract
The objective of this study was to determine the discharge characteristics of flow through a longitudinal bottom discharge slot in a nearly horizontal circular pipe.The study consisted of an experimental model constructed in the University of Michigan Hydraulics Laboratory.The model study was a scaled representation of a proposed bottom outlet slot diversion structure for the Upper Rouge Tunnel (site DS-4) combined sewer overflow project in Southeast Michigan.The purpose of the slot is to allow discharge from the flow conduit into a deeper storage facility until the storage facility becomes filled to capacity after which the flow would continue to overflow in the original conduit.The main goals of the bottom outlet slot design are to control the flow passively and to minimize head losses in the conduit to avoid excessive backwater effects from the diversion structure.Experiments were performed in a scale model of a proposed design for the discharge structure.One important observation in describing the flow was that the flow passed through critical depth near the upstream end of the slot and was supercritical above the slot.Further, the flow patterns above the slot were clearly not two-dimensional and considerable flow variations were noticed in the lateral direction.The experimental results showed that increasing the pipe slope causes only minor increases to the required slot length.A
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".