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KAJIAN POTENSI LAHAN BASAH MANGROVE SEBAGAI AGEN FITOREMEDIASI LOGAM BERAT DI DESA SUNGAI MUSANG

2024· article· id· W4409598670 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFish Scientiae · 2024
Typearticle
Languageid
FieldEnvironmental Science
TopicHeavy Metal Pollution Remediation
Canadian institutionsnot available
Fundersnot available
KeywordsMangroveChemistryEnvironmental scienceBiologyEcology

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.016

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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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