IT Providing a Path From Research to Practice - Promoting Use of Environmentally Friendly Cement and Concrete in Construction
Bibliographic record
Abstract
Developments in IT are rapidly changing the ways in which we communicate research results to provide timely technology transfer to the construction industry. This paper presents a computer database and a Web-based information system that were developed to disseminate the results of a long-term CANMET and U.S. Army Corps of Engineers studies on the durability of marine concrete incorporating supplementary cementations materials. These information systems provide tools to visualize the results of extensive field studies and support an informed decision-making on the choice of environmentally - friendly concrete for marine projects. The paper discusses some issues associated with the design and maintenance of concrete durability information systems and the need to develop a Web portal for Sustainable Development of Cement and Concrete that would provide collaborative environment for concrete researchers all over the world to share information on concrete durability, provide on-line training materials for construction companies, and offer professional services.
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".