Bibliographic record
Abstract
For the last 20 years, glass fibre reinforcing bars were developed for installation as reinforcement in the concrete decks of bridges in North America, where the intense use of de-icing salts had lead to severe degradation of steel reinforced bridge decks. Two recent research projects focussed on this strength of newest generation glass fibre reinforcing bars. The first studied their behaviour in concrete bridge barrier walls as they are commonly built in the United States and in Canada. This project culminated in a full-scale crash test on a TL-5 (highest load level barrier wall according to the AASHTO Manual for Assessing Safety Hardware (MASH)) using a 36 tonne tractor trailer hitting the wall at a speed of 80 km/h. In the second project the benefits of installing non corroding dowels to connect two different loaded members were assessed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.151 | 0.008 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.014 | 0.001 |
| Research integrity | 0.001 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".