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Record W2024700310 · doi:10.2166/wpt.2010.015

Occurrence and Removal of PPCPs and EDCs in the Detroit River Watershed

2010· article· en· W2024700310 on OpenAlex
Shahram Tabe, Paul Yang, Xiaoming Zhao, Chunyan Hao, Rajesh Seth, L. Schweitzer, Taher Jamal

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

VenueWater Practice & Technology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsUniversity of WindsorMinistry of the Environment, Conservation and Parks
Fundersnot available
KeywordsEffluentPerfluorooctanoic acidEnvironmental chemistryEnvironmental impact of pharmaceuticals and personal care productsEnvironmental sciencePollutantSewageSewage treatmentWater treatmentChemistryWatershedEnvironmental engineering

Abstract

fetched live from OpenAlex

The occurrence of 51 pharmaceuticals and personal care products (PPCPs) and endocrine disrupting compounds (EDCs) in the Detroit River Watershed (DRW) was investigated. Also, the efficiency of local water treatment plants (WTPs) in removing these pollutants was evaluated. Samples were collected from various locations in the DRW, including the discharge of a sewage treatment plant (STP), downstream of the STP on the Detroit River, the intakes of the WTPs, and treated drinking water. Of the 51 target substances analyzed, 12 were not detected in any of the samples, while 14 were detected consistently in all samples from the STP effluent. The concentration of target chemicals was two to four orders of magnitude higher in the STP effluents than at the intakes of the WTPs. In total, 10 substances were detected in at least 10% of the drinking water samples. Two compounds, perfluorooctanoic acid (PFOA) and perfluorooctyl solfonate (PFOS), were found in 90+% of the drinking water samples.

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 score0.242
Threshold uncertainty score0.450

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 studies0.0000.001
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 head0.012
GPT teacher head0.270
Teacher spread0.257 · 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