Bench-Scale Assessment of the Effectiveness Of An Anaerobic Selector in Controlling Filamentous Bulking
Bibliographic record
Abstract
A laboratory scale sequencing batch reactor (SBR) was used to assess the ability of an anaerobic selector to control filamentous growth in an activated sludge plant experiencing bulking problems. The SBR was operated under a sequence of 60 min anaerobic followed by 120 min of aerobic period at 20 degrees C, with a total solids retention time (SRT) of 4 d and a hydraulic retention time (HRT) of 8 h. The apparent soluble organic carbon (SOC) removal from the liquid phase averaged 18% during the anaerobic period, which is significantly less than the 80-90% removal generally considered to be required to suppress the growth of filamentous bacteria. The anaerobic selector was, however, able to control sludge bulking, resulting in an average sludge volume index (SVI) below 140 ml g(-1). The true amount of the SOC uptake was masked by simultaneous hydrolysis of particulate organic matter during the anaerobic period, a process which should be considered in future studies and comparisons.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".