An Evaluation of DEMATEL-EVM based Method for the Demonstration Projects of Water Environment Assessment
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
The existing methods of the water environmental quality assessment generally focus on the environmental characteristics, and fail to cover the core demands of ecological demonstration project. These methods lack a comprehensive analysis of sustainable development and maintenance capabilities. Also, the subjective analysis and computing of weight furthermore leads to unstable output. This paper is written in attempt to raise a set of assessment systems and methods to evaluate the demonstration projects of water environment. With the helping of establishing a complete quality evaluation index system of water environment demonstration project, the research approaches are based on the model of subjective and objective comprehensive weighting evaluation of DEMATEL-EVM. Through this method, it is able to analyze the key elements scientifically, which influence the water environmental project, finally makes the assessment more convincible.
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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 | 0.026 | 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 | 0.001 | 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