Study on the effect of compounded fibers on the performance of modified asphalt mixtures in the framework of multidimensional data computational analysis
Bibliographic record
Abstract
Asphalt as a common material for urban road construction, asphalt pavement has been favored by the municipal industry because of its good wear resistance and stability.This paper identi ies the raw materials for this study, and obtains the samples for this study under the technical guidance of the preparation process.In order to more intuitively observe the role of the two, the construction of twodimensional numerical model, and with the help of water-immersion Marshall test, freeze-thaw splitting test, rutting test, trabecular bending test, together to explore the effect of compounded ibers on the performance of modi ied asphalt mixtures.When 6% SBR was added on 2% ZnO+4% DTDM, the lexural strength modulus increased from the initial 5482.76 to 6217.54 MPa, and its increase was 18.53%, which indicates that the addition of iber has a promoting effect on the lexural properties of modi ied asphalt mixtures.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".