Effects of FNA pretreatment on municipal solid waste acidifaction for volatile fatty acid production
Bibliographic record
Abstract
The current waste management processes only treat the waste to meet environmental regulations and neglects the potential benefits that can be obtained. There is a potential of viewing waste as feedstock for the production of value-added chemicals, which in turn reduces the quantities of waste. Anaerobic fermentation was carried out on TWAS under concentrations between 0 and 2.8 mg N/L FNA at a contact temperature of 25°C and pH of 5.5 ± 0.2 for contact time of 24 hours under Standard Retention Times of 1 day and 2 days. The FNA doses were; 0.35, 0.7, 1.4 and 2.8 mg N/L. A raw sample of TWAS without any pre- treatment, i.e. no FNA addition nor pH adjustment and a control sample (FNA = 0 mg N/L and the pH was adjusted to 5.5 and kept at a constant temperature of 25°C for 24hrs without any FNA additions) was also included.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".