Estimation of Contamination Level of Sediments Obtained from the Outport of Jeju Harbor
Bibliographic record
Abstract
In this study, physico-chemical properties and heavy metal contents of sediment samples were determined to characterize the current pollution levels of the sediments. Ignition loss of the samples obtained from outside of the harbor was relatively lower than that from the samples obtained inside of the harbor. Heavy metal pollution was not serious except Ni. Concentrations of Ni for J1, J3, and J4 exceeded 16 mg/kg. Thus, these areas were classified as lowest effect level according to Ontario sediment quality guidelines. Evaluation of sediments pollution using Igeo and R resulted as non-pollution for all considered metals, which indicated that no outer pollutants entered in the Jeju outport harbor. However, drastic increase of Cu concentrations was observed. Its concentration obviously increased toward the inside of the outport harbor. Therefore, careful attention and plan for the protection and remediation of sediments is required to maintain the cleanness of the Jeju outport harbor.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".