DISCUSSION ON "CANADIAN BRIDGE DESIGN CODE PROVISIONS FOR FIBER-REINFORCED STRUCTURES" BY BAIDAR BAKHT, GEORGE AL-BAZI, NEMY BANTHIA, MOE CHEUNG, MARIE-ANNE ERKI, MARTIN FAORO, ATSUHIKO MACHIDA, AFTAB A. MUFTI, KENNETH W. NEALE, AND GAMIL TADROS
Bibliographic record
Abstract
A discussion of an article with the aforementioned title, by Baidar Bakht, George Al-Bazi, Nemy Banthia, Moe Cheung, Marie-Anne Erki, Martin Faoro, Atsuhiko Machida, Aftab A. Mufti, Kenneth W. Neale, and Gamil Tadros, published in this journal (Vol. 4, No. 1, February 2000) is presented. The discussers would like to have the authors' views on two topics. The first is the statistical treatment of fiber-reinforced plastic structures. The second is the size effect in fiber-reinforced structures. Discussion is followed by closure from the authors.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".