PERACETIC ACID (PAA) AS A DISINFECTANT FOR MUNICIPAL WASTEWATERS: ENCOURAGING PERFORMANCE RESULTS FROM PHYSICOCHEMICAL AS WELL AS BIOLOGICAL EFFLUENTS
Bibliographic record
Abstract
PERACETIC ACID (PAA) AS A DISINFECTANT FOR MUNICIPAL WASTEWATERS: ENCOURAGING PERFORMANCE RESULTS FROM PHYSICOCHEMICAL AS WELL AS BIOLOGICAL EFFLUENTSPeracetic acid (PAA) was assessed as a potential disinfectant for municipal wastewaters. Effluents from four plants in Quebec (Canada) were subjected to batch tests; two were physicochemical (using ferric and/or alum) and two were biological (activated sludge). A recently developed colourimetric method, using horseradish peroxidase and ABTS as the key reagents, was used to measure the PAA...Author(s)Ronald GehrDawn CochraneSourceProceedings of the Water Environment FederationSubjectSESSION 3: CHLORINATION AND BEYONDDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2002ISSN1938-6478SICI1938-6478(20020101)2002:1L.182;1-DOI10.2175/193864702785033527Volume / Issue2002 / 1Content sourceDisinfection and Reuse SymposiumFirst / last page(s)182 - 198Copyright2002Word count291
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".