Interpreting collimated beam ultraviolet photolysis rate data in terms of electrical efficiency of treatment
Why this work is in the frame
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Bibliographic record
Abstract
A novel approach is presented for using fluence-based rate constants from collimated beam ultraviolet (UV) degradation kinetics to estimate electrical efficiencies for large-scale treatment of chemical contaminants. Atrazine (ATZ) and N-nitrosodimethylamine (NDMA) are given as examples. The relative electrical efficiencies of medium-pressure (MP) and low-pressure (LP) mercury lamps for treating these contaminants estimated from collimated beam data compare favorably with data collected using a bench-scale annular reactor and two different waters. For the water with higher UV transmittance, ATZ degradation was more efficient with the MP lamp by 8%, while for the water with lower transmittance the LP lamp was more efficient by 4%. For NDMA, the LP lamp was more efficient than the MP lamp in both waters tested: it was 29% more efficient in the water with higher transmittance and 58% more efficient in the water with lower transmittance. Key words: chemical treatment, water treatment, ultraviolet radiation, pesticides, photochemical reactions, potable water, electric power demand.
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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 | 0.001 | 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 it