The pollution status of Banten Bay waters based on physical and chemical parameters using CCME index
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Banten Bay are located in northern part of Cilegon City, Banten Province. The water quality of Banten Bay is influenced by both environmental and anthropogenic factors, which if not properly managed can lead to pollution. This study aimed to assess the pollution status of Banten Bay waters using the Canadian Council of Ministers of the Environment (CCME) Water Quality Index, both temporally and spatially. The observed parameters were temperature, turbidity, TSS, pH, dissolved oxygen, ammonia, nitrate, nitrite, and total phosphate. The results indicate that most parameters are within the seawater quality standards for marine life, with the CCME index classifying the pollution status as fairly good. However, nutrient enrichment from land-based activities and sediment input from river discharge have been identified as key factors influencing water quality. Potential pollution sources include domestic wastewater, agricultural runoff, and industrial effluents, which, if unmanaged, can deteriorate the water quality. This study highlights the need for sustainable waste management practices to maintain the ecological health of the bay.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 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 it