Bibliographic record
Abstract
The findings revealed that dung decomposers significantly enhance soil nutrient content, including nitrogen, phosphorus, potassium, magnesium, and calcium, while reducing soil density, pH, and electrical conductivity. The presence of dung decomposers also led to increased plant growth parameters such as total leaf sugar, vitamin C, polyphenols, total protein, and amino acids. Additionally, dung decomposers improved the net photosynthetic rate, stomatal conductance, and chlorophyll content in plants. The study also highlighted the species-specific effects of dung decomposers on nutrient cycling and soil fertility, emphasizing the importance of maintaining beetle diversity to maximize soil health benefits. The application of dung decomposers as a soil amendment significantly enhances soil fertility and promotes plant growth. This sustainable strategy can improve crop yields and nutrient status, making it a viable option for organic agricultural practices. The study underscores the critical role of dung decomposers in nutrient cycling and soil health, particularly in dryland environments where nutrient losses due to grazing are prevalent.
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.
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 | 0.000 | 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) | 0.000 | 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".