Chemical Characteristics of the Use of Gelatine Sludge in Soil Cultivated as Fertilizer
Bibliographic record
Abstract
Various types of industrial wastes have been tested as a source of pasture fertilization. However, little is known about the sludge of the gelatine industry. This study aimed at testing gelatine sludge as a soil amendment by assessing the chemical modifications caused in the soil profile. The experiment was conducted in Araguaina, Tocantins, using a typical Quartzipsamment soil (Entisols) from February to November 2013. Four doses were tested in experimental plots: 0, 50, 150 and 300 m3 ha-1. Soil sampling was performed at four depths: 0-5, 5-10, 10-20 and 20-30 cm with collection at the beginning and the end of the experimental period. Five grazing simulations of 21 days of rest of Piatã grass were testes. The gelatine sludge was able to raise the contents of calcium, phosphorus, and sum of bases only in the superficial layer (0-5 cm) and did not alter the pH, potential acidity and saturation by base, indicating that there was no use restriction due to salinization or acidification. Therefore, it was concluded that the maximum tested dose (300 m3 ha-1) improved the chemical characteristics of the soil, especially in the 0-5-cm layer.
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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 | 0.000 | 0.000 |
| 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".