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Record W4408842522 · doi:10.1051/bioconf/202516801012

The pollution status of Banten Bay waters based on physical and chemical parameters using CCME index

2025· article· en· W4408842522 on OpenAlexaboutno aff
Sulistiono Sulistiono, Ali Mashar, Aliati Iswantari

Bibliographic record

VenueBIO Web of Conferences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsBayIndex (typography)Environmental sciencePollutionMarine pollutionOceanographyGeologyEcologyComputer science

Abstract

fetched live from OpenAlex

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.792

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.029
GPT teacher head0.286
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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