REDUCING DISPOSAL COSTS THROUGH ADVANCED ELECTRO-DEWATERING
Bibliographic record
Abstract
REDUCING DISPOSAL COSTS THROUGH ADVANCED ELECTRO-DEWATERINGThe City of Victoriaville (Quebec, Canada) has been using an innovative dewatering process using the principle of electro-osmosis since March 2005. The electro-dewatering machine is fed with dewatered sludge cake at an average16% TS concentration. Solids concentration at the outlet is in an average of 36% TS, with a volume reduction of 57%. Pathogen destruction has been documented. Effect of...Author(s)Scott F. McKayRoger ParadisMartin BlanchetteSourceProceedings of the Water Environment FederationSubjectSession 21: DewateringDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2007ISSN1938-6478SICI1938-6478(20070101)2007:3L.1167;1-DOI10.2175/193864707787975750Volume / Issue2007 / 3Content sourceResiduals and Biosolids ConferenceFirst / last page(s)1167 - 1179Copyright2007Word count122
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".