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Record W2074959539 · doi:10.1021/es015546f

Nonylphenol in Anaerobically Digested Sewage Sludge from New York State

2002· article· en· W2074959539 on OpenAlexaboutno aff
Scott W. Pryor, Anthony G. Hay, Larry P. Walker

Bibliographic record

VenueEnvironmental Science & Technology · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsnot available
FundersCooperative State Research, Education, and Extension ServiceU.S. Department of Agriculture
KeywordsBiosolidsNonylphenolSewage sludgeSewage treatmentEnvironmental chemistryChemistrySewageEnvironmental scienceEnvironmental engineering

Abstract

fetched live from OpenAlex

Nonylphenols (NPs) have been identified as xenoestrogens and have been found at high concentrations in Canadian and European biosolids. While nonylphenol polyethoxylates (NPEOs) are being phased out and regulated in several European countries, there is currently no regulation of these compounds in the United States, and little information is available concerning the presence of NPs in U.S. biosolids. Anaerobically digested sewage sludge from five wastewater treatment plants in central New York State was analyzed for the presence of NPs. Samples were taken from treatment plants in both small municipalities and larger metropolitan areas with a range of industrial inputs. Samples were extracted via Soxhlet apparatus and analyzed by GC/MS. The various isomers of NP were summed yielding total NP concentrations as high as 1840 mg/kg with a mean of 1500 mg/kg on a dry weight basis. These values are two to five times as high as previously reported concentrations for U.S. and Canadian biosolids from plants using similar treatment schemes.

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 score0.154
Threshold uncertainty score0.307

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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

Citations53
Published2002
Admission routes1
Has abstractyes

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