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Record W2076230971 · doi:10.1080/09593330.2004.9619365

Bench-Scale Assessment of the Effectiveness Of An Anaerobic Selector in Controlling Filamentous Bulking

2004· article· en· W2076230971 on OpenAlexaff
Yeong Shenq Lee, Jan A. Oleszkiewicz

Bibliographic record

VenueEnvironmental Technology · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAnaerobic exerciseSegmented filamentous bacteriaSequencing batch reactorHydraulic retention timeSludge bulkingPulp and paper industryOrganic matterChemistryBioreactorActivated sludgeVolume (thermodynamics)Environmental engineeringEnvironmental scienceBiologyEffluentSewage treatment

Abstract

fetched live from OpenAlex

A laboratory scale sequencing batch reactor (SBR) was used to assess the ability of an anaerobic selector to control filamentous growth in an activated sludge plant experiencing bulking problems. The SBR was operated under a sequence of 60 min anaerobic followed by 120 min of aerobic period at 20 degrees C, with a total solids retention time (SRT) of 4 d and a hydraulic retention time (HRT) of 8 h. The apparent soluble organic carbon (SOC) removal from the liquid phase averaged 18% during the anaerobic period, which is significantly less than the 80-90% removal generally considered to be required to suppress the growth of filamentous bacteria. The anaerobic selector was, however, able to control sludge bulking, resulting in an average sludge volume index (SVI) below 140 ml g(-1). The true amount of the SOC uptake was masked by simultaneous hydrolysis of particulate organic matter during the anaerobic period, a process which should be considered in future studies and comparisons.

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 score0.124
Threshold uncertainty score0.510

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 head0.003
GPT teacher head0.208
Teacher spread0.205 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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