Research on the Parameters of Environment-Friendly Recycled Road Materials
Bibliographic record
Abstract
The feasibility of propagating road materials in the use of contracture wastes especially contented great amount waste bricks were researched in three aspects: Performance of recycled aggregate, mechanical properties of renewable road materials, compression - splitting indexes. Conclusions are as following: recycled aggregates contenting great amount waste bricks in place of natural aggregates are feasible from the point of view on technical and technological. The performances of recycled aggregates have a significant impact on properties of renewable road material. Whether it is cement stabilized RCA material or cements stabilized RCBA material, age and cement in the age-dose studies, with the increase in cement dose, mechanical properties growth trends are similar. Compared to unconfined compressive strength and resilient modulus, splitting strength is much closed in terms of growth trends or Growth value at the cement doses or ages. Good Relevance correlation are existed among resilient modulus, compressive strength and splitting strength: ,RCA: .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".