Assessment of endocrine disrupting chemicals in water and sediment samples from British Columbia, Canada
Bibliographic record
Abstract
Endocrine Disrupting Chemicals (EDCs) can interfere with the endogenous hormone system that leads to adverse health effects in the exposed population of wildlife and humans.Thus, the objective of the present study was to identify and quantify four different classes of EDCs, i.e. estrogens, androgens, glucocorticoids and aryl hydrocarbon receptor agonists in the water and sediment samples from 22 sites in British Columbia.All sites were bodies of water that are impacted by agricultural and/or urban activities.Samples were collected during the dry and rainy periods at each sampling location.EDC levels were higher in sediment than in water across all sites.The highest activity was found using the glucocorticoid assay compared to the other two steroid hormone assays.Chemical analysis was performed using gas chromatography-mass spectrometry on a subset of samples to identify specific compounds in the mixture.The chemicals identified were 17βestradiol, estrone, bisphenol A and dehydroabietic acid.Findings from this study may be used as benchmark levels for future studies in the same region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".