Errors in Ultraviolet Fluence Calculations Due to Particles in Wastewater Samples
Why this work is in the frame
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Bibliographic record
Abstract
Conventional spectrophotometers that do not include an integrating sphere assembly do not account for scattered ultraviolet (UV) light in a water sample containing particles and can therefore overpredict absorbance. Water samples from the secondary effluent of a municipal wastewater treatment plant were monitored over the course of 1 year to determine whether the error introduced in UV absorbance measurements when neglecting scatter was significant. The error was interpreted in terms of UV fluence that would be calculated for varying path lengths of solution. The error ranged from 10% to over 90% and increased independently with total suspended solids and path length. Combination of increasing path length and total suspended solids, together, amplified the error. This study demonstrates that, in some situations, integrating sphere absorbance measurements may be warranted to minimize significant errors in estimated UV fluences; however, in other situations (e.g., short path lengths), conventional spectrophotometers may be sufficient.
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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 | 0.001 |
| 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