Abiotic factors affecting inactivation of pathogens in sludge
Bibliographic record
Abstract
Pathogen inactivation tests on anaerobically digested and dewatered sludge consisted of long-term incubation/storage of a mixture of sludge solids and lime at various doses in closed containers at several temperature levels. The containers simulated anoxic conditions that would exist in a landfill or a sludge monofill. After rapid initial increase of pH, and due to containment of the sludge, the alkaline conditions prevailed during the remainder of the storage. This led to inactivation of pathogen indicators at doses much below those traditionally recommended for alkaline disinfection and production of biosolids, i.e. properly treated sludge. Fecal coliform and Salmonella bacteria were inactivated to the US EPA's class A levels at quicklime doses as low as 20 g CaO/kg TS or about 6 g CaO/kg of wet solids. The pH 12 lasted for the entire storage time in containers with lime doses at or above 120 g/kg TS, regardless of the incubation temperature. Such high pH allowed elimination of the spores of pathogenic Cl. perfringens bacteria from the solute.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 | 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".