Performance of up-flow anaerobic sludge blanket followed by continuous-flow sequencing batch reactor
Bibliographic record
Abstract
A system consists of an up-flow anaerobic sludge blanket (UASB) and a continuous flow sequencing batch reactor (contflow SBR) was operated under different retention times.UASB was tested at 2.8, 4.4, then 5.7 hrs.The average chemical oxygen demand (COD) removal in UASB was 51.5 % on average.Cont-flow SBR was tested at 4 to 6 and then at 8 hrs cycle periods.The results indicated that the ability of the pilot plant to work under different retention times with removal efficiencies for COD, TN, and phosphate up to 96.5%, 62.6 %, and 35.9% respectively.The main advantage of the proposed treatment system is the minimization of investment and operational costs as compared to the use of cont-flow SBR systems alone.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".