Comprehensive Evaluation of Eco-environmental Quality in Guanzhong Urban Agglomeration Based on Multi-source Remote Sensing Data
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
With the rapid development of social economy in Guanzhong urban agglomeration, the living standards of the people has been greatly improved. Because of the extensive mode of development, environmental problems have also become the cost of economic development in Guanzhong urban agglomeration. Urban agglomeration is facing a series of environmental problems, such as ecological destruction, atmospheric pollution, water shortage and so on. Focusing on these issues, multi-source remote sensing data and auxiliary data are integrated to build a comprehensive and regional eco-environmental quality assessment model. The evaluation model is established based on the combination of Fuzzy Analytical Hierarchy Process, Principal Component Analysis and Lagrange Multiplier. The results show that the quality of ecological environment in Guanzhong urban agglomeration shows a downward trend in general. The area of the eco-environmental quality index between 0.4-0.6 performs an upward trend, which transformed from other levels. The quality of ecological environment in Guanzhong urban agglomeration has gradually improved from north to south. The southern part of Guanzhong urban agglomeration is Qinling Nature Reserve, which Contains a lot of woodland and has high ecological environment quality.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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