Utilization of Tropical Forest Cacao Dried Leaves for Environment Improvement
Bibliographic record
Abstract
Cacao (Theobroma cacao L.) is a plant that grows in a tropical forest environment that requires shade to avoid whole light.This plant can be broadly divided into two parts: the vegetative part, which includes roots, stems, and leaves, and the generative function, which includes flowers, fruit, and seeds.The productive part of cacao is a product with high economic value, while the vegetative part, such as dry leaves, has not been widely used.This study aims to determine the characteristics of activated carbon from cacao leaves taken from plantation locations near tropical forests in Central Sulawesi and its use to improve water quality by reducing TSS and improving pH values.The parameters observed were yield, moisture, ash, and fixed carbon.The quality of activated carbon meets the technical quality requirements for activated carbon (SNI 06-3730-1995) for water content and ash content, namely 5.1% (maximum 15%) and 1.12% (maximum 10%), but has a bound carbon content of 37.97% (minimum 65%).Generally, the performance of tofu wastewater treated with activated charcoal changes with increasing pH value and decreasing TSS value.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".