Potential side effects of using ammonia to inhibit bromate formation during the ozonation of drinking water
Bibliographic record
Abstract
This note identifies potential side effects of using ammonia to inhibit bromate formation during the ozonation of drinking water, and makes preliminary predictions of their significance. Based on kinetic calculations, it is expected that ammonia would not exert a significant ozone demand and consequently would have little impact on the ozonation process. The ammonia needed to inhibit bromate formation is also not expected to promote nitrification in distribution systems, since the ammonia would either typically be removed through breakpoint chlorination or would be used to form chloramines. However, the impact of ammonia on biologically active filters, which often follow ozonation, is more difficult to evaluate since the issue has not been directly studied, and the role of nitrogen in the biological processes in such an environment is complex. Further, if chlorine were being used for secondary disinfection, any ammonia that persisted in the treated water would exert a demand and would have to be considered.
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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 | 0.001 |
| 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".