Research on Application of Waterborne Marking Paint with Material Properties
Bibliographic record
Abstract
This paper explains the advantages and shortcomings of waterborne marking paint, based on technical characteristics thereof, describes the physical and chemical properties of said paint required in China, discusses the application status of said paint in China and abroad, and proposes the application trend of said paint in China. The results showed that: the waterborne marking paint has little damages on human and environment because of less volatile organic content (VOC), and has many other advantages such as good retroreflective performance, more conveniently cleaning effect for applying equipment and good skid resistance, etc., while it has the shortcomings of thermal sensitivity, easily freezing performance and metal corrosion, for example; the waterborne marking paint has been used with the third amount based on the total of road marking paint in China, but a further progress needs to be made for the waterborne marking paint in technology, application and market promotion in order to improve its field of application.
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How this classification was reachedexpand
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 | 0.004 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".