Tire-derived compounds, phthalates, and trace metals in the Kiel Fjord (Germany)
Bibliographic record
Abstract
Concerns about pollutants in the environment are increasing, with substances such as plastic additives drawing particular concern due to their potential harmful effects on organisms. This study investigates current levels of several contaminants in the Kiel Fjord. Some pose serious health risks to aquatic life. In September 2022, water and sediment samples were collected from fifteen stations across the inner and outer Kiel Fjord. The concentrations of selected phthalates, tire-derived compounds, and heavy metals were measured. Results indicate that the outer fjord has minimal contamination, while the inner fjord contains several hotspots with significant pollutant concentrations. For example, the highest levels of heavy metals were detected near Laboe and in deeper sediment layers (>6 cm) at Wik. The maximum concentrations of phthalates were observed near Laboe, with elevated levels also found near the city of Kiel and the Nord-Ostsee-Kanal. This study highlights the substantial anthropogenic impact on the region.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".