600 MLD Membrane Bioreactor for Tertiary Nitrification in Hamilton, Ontario
Bibliographic record
Abstract
600 MLD Membrane Bioreactor for Tertiary Nitrification in Hamilton, OntarioThe City of Hamilton is faced with increasing pressure from growth and development, greater wet weather treatment needs, and stringent effluent targets. In order to address these challenges, the City of Hamilton has initiated an ambitious program to identify alternative upgrade options for the Woodward Avenue WWTP. One of the alternatives identified for further investigation is a tertiary...Author(s)Tim A. ConstantineDan ChauvinMark BainbridgeLindsay ReiachGeorge CrawfordGlen DaiggerLinda FergusonSourceProceedings of the Water Environment FederationSubjectSession 25: Municipal Wastewater Treatment Processes: Membrane BioreatorsDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2006ISSN1938-6478SICI1938-6478(20060101)2006:11L.1886;1-DOI10.2175/193864706783750493Volume / Issue2006 / 11Content sourceWEFTECFirst / last page(s)1886 - 1896Copyright2006Word count282
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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".