THE ESTABLISHMENT AND DEVELOPMENT OF HALOPHYTES AS NATURE-BASED SOLUTIONS IN WASTEWATER TREATMENT FOR THE MALAYSIAN AQUACULTURE INDUSTRY
Bibliographic record
Abstract
Aquaculture became very important in the seafood sector in recent times owing to the depletion of the wild stock, and it is recognized as a major contributor to seafood for human consumption. Meanwhile, halophytes, recognized for their extreme resilience to saline environments, have gained prominence as pivotal components in climate adaptation strategies, phytoremediation, and sustainable agriculture. However, the main sustainability issues associated with intense aquaculture, as exemplified by seafood products, are the large amounts of wastewater generated that are discharged with minimal treatment. The aim of the proposed presentation is to establish new innovation to address the above problems, using halophytes within a bespoke production system, the first of its kind in the Malaysian aquaculture industry. The findings from the proposed work will be timely given the increasing consequences of climate change and the drive towards sustainable solutions. It will enable the direct beneficiaries, such as Malaysia to accelerate sustainable aquaculture development and take a leading role in the wider SEA region in developing sustainable solutions for producing an important source of global food security. This will be an exemplary case to be followed elsewhere, globally.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".