Full‐Scale Ozone–Biofiltration: Seasonally Related Effects on NOM Removal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Performance of full‐scale ozone–biofiltration was investigated over 14 months to determine the potential effects of seasonally related changes in water temperature and quality on the removal of natural organic matter fractions. The biofilters removed on average 12% of dissolved organic carbon, 31% of biopolymers, 6% of humic substances, 10% of humic building blocks, 31% of low‐molecular‐weight (LMW) acids/LMW humics, 14% of LMW neutrals, and 52% of assimilable organic carbon. The biofilters exhibited an increase in removal of dissolved organic carbon, biopolymers, LMW acids/LMW humics, and assimilable organic carbon as temperature increased from 3 to 28°C, even though filter contact time was somewhat shorter at higher temperatures. Although phosphorus concentrations were reduced by coagulation pretreatment, the biofilters effectively removed the LMW compounds generated from ozonation. Filter biomass levels were not related to temperature, empty bed contact time, time during the filter cycle, or removal of natural organic matter.
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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 | 0.000 | 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 | 0.003 |
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