Effect of Different Land-Use Patterns on Soil Fertility Characteristics
Bibliographic record
Abstract
In this paper, a field survey and analysis about the fertility of cultivated layer soil for various usage in Wen Jiang District was carried out. The main results were as follows: the content of organic matter in the cultivated layer of sodded soil has a slight increase. The content of soil alkaline hydrolysis N was positively correlated with the content of soil organic matter. The content of available P and available K decreased after forestation or sodding. After paddy soil was transformed to garden, the soil fertility was affected in some extent. If the soil was fertilized properly, especially when prescription fertilization was adopted, the variety of soil properties was small and there was no evident obstacle in resuming rice planting, especially for the soil that was used to replant deciduous shrubbery. So far as retaining soil fertility was paid attention to, most of the transformed soil could be resumed as before. So this land utilization mode was worth to be encouraged and extended at present stage.
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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 | 0.001 |
| 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 | 0.000 | 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".