Prioritize Agri-Environmental Measures of Water-Related Ecosystem Services: The Case of Mashhad
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Current structure of agricultural input consumption eventually influences bases of natural environment and ecosystem services (especially water related) from which human communities benefit. This research aims at assisting decision making and prioritizing ecosystem services and their improvement measures according to interconnection of different ecosystem services and agri-environmental schemes of improving these services with help of fuzzy analytic network process (FANP) in Mashhad plain. Results show that among water-related ecosystem services, water quality and having healthy products, are first priorities. Providing needed water for agriculture section stands in the second rank with minor difference. Third and fourth places go to soil conservation and biodiversity relatively and agricultural tourism which is categorized under cultural services is placed in the last place. Also, based on this study results, among the seven agri-environmental water-related ecosystem services improvement, integrated pest management (IPM) ranks first. The second and third priorities belong to proposed crop pattern and conservative tillage implementation.
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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 | 0.002 | 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 it