Biokonsentrasi Timbal Dan Kadmium Terhadap Penaeus merguiensis Dalam Air Dan Sedimen Di Perairan Desa Sungsang I
Bibliographic record
Abstract
Sungsang Village is located at the mouth of the Musi River making this area dense with settlements and transportation activities, this contributes to damage and results in decreased water quality. This study aims to analyze the concentrations of Pb and Cd in water, sediment and white shrimp (Penaeus merguiensis) and examine the level of accumulation of Pb and Cd through the BCF values of Pb and Cd in white shrimp (Penaeus merguiensis) in water and sediment in the waters of Sungsang I Village. Results the study showed that the average concentration of Pb in water in the waters of Sungsang I Village was 0.104 mg/L, exceeding the threshold value in Kep.Minister of State for the Environment No. 51 of 2004. The average Pb content in sediments is 24.892 mg/Kg, still below the quality standards of the Guidelines for the Protection and Management of Aquatic Sediment Quality in Ontario. The average concentration of Pb in jerbung shrimp is 0.809 mg/Kg, this value exceeds the limit set by BPOM. The results of the Cd test showed that the average water content, sediment, and jerbung shrimp were 0.013 mg/L, 0.174 mg/Kg and 0.127 mg/Kg. The BCF Pb value of shrimp-sediment was 7.779 and BCF Pb of shrimp-sediment was 0.033. The BCF Cd of shrimp-sediments was 9.769 and the BCF Cd of shrimp-sediments was 0.730. The Pb and Cd bioconcentration values of the jerbung shrimp (Penaeus merguiensis) in water and sediment are included in the low accumulative category, because the BCF value is <100.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".