Assessment on Ecological Safety of Farmland Fertilization of China
Bibliographic record
Abstract
Here is presented the concepts of Fertilization Ecological Hazard Index (FEHI) and Fertilization Ecological Safety Threshold (FEST). These concepts have been used to develop models that assess the hazards posed by fertilization with inorganic fertilizers on ecological environments in China. Based on these models, there were 11 regions, most of which are located in Western China, slightly at risk from over-fertilization, while 14 regions located in central or eastern China were at a moderate hazard from overuse of fertilizers. Six regions in western China were found at ecological safety of environment because of small amounts of fertilizers used in these regions. Ecological safety of environment decreased along the gradient from northwest to southeast by fertilization. There were several factors that influence FEHI. It is obligatory for local governments to offer training to guide reasonable uses of fertilization. It would be prudent for China to establish laws to protect soils, especially to regulate the use of fertilizers in agriculture.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".