Pairing a pilot plant to a direct filtration water treatment plant
Bibliographic record
Abstract
This paper outlines experiments that were conducted to establish that statistically equivalent intermittent and finished water quality was demonstrated between pilot treatment trains and a corresponding full-scale plant (FSP). First, equivalence was successfully established between the two pilot trains using paired t tests to confirm that the two trains were producing statistically equivalent water quality (e.g., pH, turbidity) while operating under identical operational and process conditions. Secondly, hypothesized mean differences and paired t tests were effectively applied to confirm the water quality achieved following each treatment phase in the pilot plant mimicked the corresponding treatment process in the FSP. Successive trials demonstrated equivalence in multiple water quality parameters throughout the two treatment scales, including pH, UV254, total organic carbon, dissolved organic carbon, alkalinity, and turbidity. The validation process demonstrated that the pilot plant has the ability to reproduce water quality outcomes from the FSP and that the results of the pilot facility are representative of process changes that will optimize the FSP performance.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".