KAJIAN POTENSI LAHAN BASAH MANGROVE SEBAGAI AGEN FITOREMEDIASI LOGAM BERAT DI DESA SUNGAI MUSANG
Bibliographic record
Abstract
Heavy metals such as lead (Pb), cadmium (Cd), and copper (Cu) are hazardous pollutants that often contaminate water bodies, especially in coastal areas. This study aims to evaluate the potential of mangrove wetlands in Sungai Musang Village as a natural phytoremediation agent to absorb accumulated heavy metals in aquatic sediments. The research was conducted at the Sungai Musang estuary, Banjar Regency, South Kalimantan, in 2024. Sampling and analysis methods used atomic absorption spectrometry (AAS) to detect heavy metal content in mangrove and non-mangrove areas. The study results showed that the concentrations of Pb, Cd, and Cu at all observation points were far below the limits set by Ontario (1993) and IADC/CEDA (1997) standards, indicating that the area is still safe from heavy metal pollution. Thus, the mangrove wetlands in Sungai Musang Village play a significant role in absorbing heavy metals from aquatic environments, making them a potential phytoremediation agent
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".