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Record W2054642093 · doi:10.1081/ese-200046557

Evidence for Tin Inhibition of Enhanced Biological Phosphorus Removal at a Municipal Wastewater Treatment Plant

2005· article· en· W2054642093 on OpenAlexaff
Sierra Rayne, Sheila Carey, Kaya Forest

Bibliographic record

VenueJournal of Environmental Science and Health Part A · 2005
Typearticle
Languageen
FieldEngineering
TopicMarine Biology and Environmental Chemistry
Canadian institutionsKelowna General Hospital
Fundersnot available
KeywordsTinEnhanced biological phosphorus removalPhosphorusChemistryWastewaterActivated sludgeSewage treatmentNutrientEnvironmental chemistryNitrogenPulp and paper industryEnvironmental engineeringEnvironmental scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Concentrations of 34 metals were determined in the concentrated waste activated sludge from a dissolved air flotation unit at an advanced municipal wastewater treatment plant (WWTP) with biological nutrient removal. Reduction in enhanced biological phosphorus removal (EBPR) efficiency was observed at total tin concentrations greater than 4 microg L(-1) in the solids fraction of the mixed liquor suspended solids. No influence on carbon or nitrogen removal efficiency was found by elevated tin concentrations. Other process control variables and metal concentrations were not correlated with reduced EBPR efficiency on dates with elevated tin levels. The known high contributions of organotin species toward total tin in activated sludges from other municipal WWTPs, and the high toxicity of these compounds, suggests elevated organotin levels may be responsible for the observed reduction in EBPR efficiency.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.064
GPT teacher head0.291
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2005
Admission routes1
Has abstractyes

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