Monitoring of Physical Parameters in Organic Waste Composting
Bibliographic record
Abstract
The volume of biodegradable solid waste and its inadequate disposal have led to serious environmental problems, requiring efficient measures that prioritize the recycling of these wastes, promoting sustainability. The objective of this research was to monitor the behavior of physical parameters during the organic waste composting process. For this, 5 piles of organic waste were built through the composting technique developed according to the windrow method. The piles were composed of 70% of plant material, and 30% varied between manure and food remains. The piles were composed of 70% of plant material, and 30% varied between manure and food remains. The proportions were: I pile, 1:1 (15% manure and 15% rest of food); Pile II, 2:1 (20% manure and 10% rest of food); Cell III, 1:2 (10% manure and 20% rest of food); (30% manure and 0% rest of food) and the V pile in the ratio of 0:3 (0% manure and 30% rest of food). The evaluated parameters were temperature, moisture, pH, TOC, TN and C/N ratio. During the process of compost maturation, the parameters evaluated were kept within the established standards for the composting process.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".