Switching from Incineration of the Heat Treated Sludge to Incineration of the Untreated Sludge at the Region of Peel Lakeview WWTP
Bibliographic record
Abstract
Switching from Incineration of the Heat Treated Sludge to Incineration of the Untreated Sludge at the Region of Peel Lakeview WWTPThe Lakeview wastewater treatment plant (WWTP) in Mississauga, Ontario, is owned by the Region of Peel and is operated by the Ontario Clean Water Agency (OCWA). The plant has been equipped with fluid bed incineration (FBI) systems as its disposal option for almost thirty years. Due to the high maintenance and the odor generated by Zimpro, in 2003 the Region of Peel decided to eliminate the...Author(s)William FernandesKy DangtranJim WelpSourceWater PracticeSubjectArticlesDocument typeConference PaperPublisherWater Environment FederationPrint publication date Sep, 2007ISSN1933-1770SICI1933-1770(20070915)1:4L.1;1-DOI10.2175/193317707X243418Volume / Issue1 / 4Content sourceWater PracticeFirst / last page(s)1 - 12Copyright2007Word count171Subject keywordsINCINERATIONFLUID BEDZIMPROSLUDGE DISPOSALTHERMAL TREATMENTCOST DATAEMISSIONS
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".