Bibliographic record
Abstract
This study was conducted to determine physico-chemical properties and degree of heavy metal contamination of sediments collected at Tongyong channel. From XRF and XRD analyses, all samples consisted of similar oxides and minerals. TOC ranged between 1.73 and 2.79%. Ignition loss ranged between 9.31 and 12.28%. Degree of heavy metal contamination of sediments was performed based on standards proposed by USEPA, Ontario sediment quality guidelines, index of geoaccumulation and total enrichment factor. In summary, sediment T9 was classified as moderately contaminated region based on standards of USEPA, index of geoaccumulation and total enrichment factor. In addition, T7 and T8 were classified as moderately contaminated region based on only USEPA standard. However, concentrations of Cu and Zn of T7 and T8 gradually increased to the level of T9 where it was close to Tongyong harbor. Therefore, the regions of T7, T8 and T9 need to be monitored and if possible required to remediate contaminated sediments.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".