Distribution and ecological risk assessment of sediment PCBs in Songhua River
Bibliographic record
Abstract
In this study,the concentrations and seasonal changes of sediment PCBs from 14 site points were characterized. 57 PCBs homologs were detected totally. The concentrations of ∑PCBs ranged from 1. 0 × 10-10 to 1. 15 × 10-8 and the average percentage was 1. 91 × 10-9,which showed a little seasonal changes. The ecological risk assessment was carried out and the same risk results were obtained with two methods: Hakanson ecological risk index and Canadian sediment quality guidelines (SQG). It is found that the ecological risk ranks in all target sites are all below the high ecological hazard. The risk value of Songyuan belongs to the middle ecological hazard in spring and the risk of the rest of the target sites belongs to the light ecological hazard in different seasons. The order of the top five risk sites is as follows: Songyuan downriver Jiamusi Fujin downriver Harbin upriver Harbin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 teacher head, 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".