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Record W2993399018 · doi:10.2175/193864709793901617

Design and Start-up of North America's First Sidestream Nitrogen Removal Plant

2009· article· en· W2993399018 on OpenAlexaboutno aff
Simon C. Baker, Yoomin Lee, Doug Taniguchi, Nicholas Szoke, Allan Zaleski, Jan Oleszkiewicz

Bibliographic record

VenueProceedings of the Water Environment Federation · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceWastewaterWaste managementSewage treatmentPulp and paper industryAnaerobic digestionEnvironmental engineeringChemistryEngineering

Abstract

fetched live from OpenAlex

Design and Start-up of North America's First Sidestream Nitrogen Removal PlantThere are three wastewater treatment plants in the City of Winnipeg. Undigested solids from the three plants are processed centrally at the North End Water Pollution Control Centre (NEWPCC). Raw solids are added to mesophilic anaerobic digesters and the digested solids dewatered using centrifuges. The centrate from the centrifuges is discharged to the head-end of the NEWPCC. Although the centrate...Author(s)Simon BakerYoomin LeeDoug TaniguchiNicholas SzokeAllan ZaleskiJan OleszkiewiczSourceProceedings of the Water Environment FederationSubjectSession 13 - BNR and ENR Case StudiesDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2009ISSN1938-6478SICI1938-6478(20090101)2009:4L.1002;1-DOI10.2175/193864709793901617Volume / Issue2009 / 4Content sourceNutrient Removal and Recovery SymposiumFirst / last page(s)1002 - 1012Copyright2009Word count197Subject keywordsSidestreamcentratebioaugmentationnitrificationdenitrificationnitrogen removal

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.172
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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