A TALE OF TWO PROCESSES - PILOTING OF HIGH RATE TREATMENT PROCESSES AT WOODWARD AVENUE WASTEWATER TREATMENT PLANT
Bibliographic record
Abstract
A TALE OF TWO PROCESSES - PILOTING OF HIGH RATE TREATMENT PROCESSES AT WOODWARD AVENUE WASTEWATER TREATMENT PLANTThe City of Hamilton, Ontario has one of the largest combined sewer systems on the Great Lakes, conveying both wastewater and stormwater to the Woodward Avenue Wastewater Treatment Plant (WWTP). The Woodward Avenue plant serves a population of approximately 380,000, and has an average day dry weather flow of approximately 350 ML/d. During wet weather, the flow entering the plant can be several...Author(s)Carl BodimeadeRick CorbettMichael HribljanDan ChauvinSourceProceedings of the Water Environment FederationSubjectSession 5: Optimization: conveyance through TreatmentDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2005ISSN1938-6478SICI1938-6478(20050101)2005:4L.239;1-DOI10.2175/193864705784291394Volume / Issue2005 / 4Content sourceCollection Systems ConferenceFirst / last page(s)239 - 254Copyright2005Word count334
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".