Evaluation of Trace Metal Contamination in Ise Bay, Mie Prefecture, Central Japan, Based on Geochemical Analysis of Tidal Flat Sediments
Bibliographic record
Abstract
Geochemical analysis of tidal flat sediments was conducted to evaluate the environment of Ise Bay, Mie, central Japan. The sediment samples were analyzed using XRF to determine the geochemical compositions of sediments in the Ise and Matsusaka estuaries and their foreshores. Enrichment Factor (EF) and the Anthropogenic Contribution (AC) parameters were used to examine the potential effect of human activity. Furthermore, the Coastal Ocean Sediment Database, lowest and severe effect levels and Canadian Sediment Quality Guidelines were applied as benchmarks to assess the sediment quality. The results show that the highest average concentrations of metals occur in the Ise estuary, mainly due to the presence of higher proportions of silt and clay in samples at that site. The EFs of Pb in the Matsusaka foreshore, and that of As in the Ise foreshore reflect minimal pollution. The average AC ranged from 1 to 30%, implying that the lithology is the primary control of any enrichment in trace metals within the bay. The sediment quality guidelines indicate that the metal levels in the study areas do not constitute a major threat to biota.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".