General Fate Model for Microconstituents in an Activated Sludge System
Bibliographic record
Abstract
Nine laboratory-scale continuous flow porous-pot bioreactors, operating at various solids retention times (SRT) and hydraulic retention times, were used to simulate activated sludge systems, and to evaluate biodegradation kinetic models for the fate of 17α-ethinylestradiol (EE2), bisphenol-A (BPA), and triclosan (TCS) at the μg/L range. Mathematical models were applied to describe the degradation mechanism of selected microconstituents and the pseudo-second-order model was found to best fit the results when active microconstituent degraders (XC) were used (r2 = 0.99). The result of XC estimation showed that SRT plays an important role in formation of the biomass capable of degrading selected microconstituents. It is also observed that microconstituent degraders are naturally present in an activated sludge system, even at low SRTs; however, the concentration of XC is dependent on SRT. It seems that biodegradation studies should incorporate XC, and not mixed liquor suspended solids concentration, in their kinetic formulations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".