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Record W2992684627 · doi:10.2175/193864709793953782

Selection and Enrichment of Denitrifying Phosphorus Accumulating Organisms in Activated Sludge

2009· article· en· W2992684627 on OpenAlex
Qiuyan Yuan, Jan A. Oleszkiewicz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the Water Environment Federation · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWastewater Treatment and Nitrogen Removal
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDenitrifying bacteriaEnhanced biological phosphorus removalActivated sludgePhosphorusEnvironmental scienceEnvironmental chemistrySelection (genetic algorithm)ChemistryDenitrificationBiologyEnvironmental engineeringSewage treatmentNitrogenComputer science

Abstract

fetched live from OpenAlex

Activated sludge from a local non-biological nutrient removal wastewater treatment plant was inoculated into a sequencing batch reactor (SBR) to investigate the techniques and required conditions for the selection and enrichment of denitrifying phosphorus accumulating organisms (DNPAOs). The SBR was operated under varying anaerobic, anoxic and aerobic conditions for 3 mon. In this study, it was demonstrated that Enhanced biological phosphorus removal (EBPR) was established rapidly by the application of the anaerobic/aerobic (A/O) process and the selection of DNPAOs was achieved by introducing an anoxic phase. With an extension of the anoxic period and increasing nitrate dosage, the community shift between aerobic phosphorus accumulating organisms (PAOs) and DNPAOs was observed. An approximate 60% DNPAO fraction was obtained from this experiment.

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.

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 score0.011
Threshold uncertainty score0.306

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 head0.009
GPT teacher head0.199
Teacher spread0.191 · 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