Suivi et validation des mesures pour un déversoir d'orage latéral à seuil court
Bibliographic record
Abstract
This work proposes an original approach for monitoring and validating discharge measurements on a lateral storm weir. The approach is based on the combined use of a measuring device and a discharge formula. The developed validation procedure first identifies the erroneous measurements and, consequently, the faulty sensor, using information redundancy on the discharged flow. The erroneous measurements are identified using statistical tests on the relative gap between the measured and simulated discharged flows. Secondly, the erroneous discharge flow measurements are corrected by following the correction rules stated for each type of error. The validation procedure has been tested in a laboratory on a test bench equipped with sensors currently used in wastewater systems. The tests helped demonstrate the validity and robustness of the Dominguez formula used to simulate discharge flows. These tests also helped substantiate the validation procedure developed through identification and correction of erroneous discharged flows introduced in the measurement samples.Key words: storm overflow, lateral storm weir, discharge formula, instrumentation, validation, measurements.[Journal translation]
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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) | 0.000 | 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".