Bibliographic record
Abstract
This paper describes how the reconstruction of the Jacques Cartier Bridge in Montreal, Canada, involved more than 645,800 sq ft (60,000 sq m) of bridge deck and made extensive use of precast, prestressed, high performance concrete (HPC) deck panels. This case study demonstrates a good example of the benefits of using a precast deck replacement method to rapidly reconstruct a highly durable deck while maintaining normal rush hour traffic. The 1.7-mile (2.7-km) long bridge with five traffic lanes carries more than 43 million vehicles every year, making it one of the busiest bridges in North America when considering traffic density per lane. After more than 70 years of operation, the concrete deck slab, support beams, and many other bridge deck components had suffered severe damage and had thus reached their useful service life. In-depth investigations confirmed that major reconstruction of the deck was required. The new bridge deck is made of precast HPC panels, which form a modular multistem integral deck system that, after being installed on the bridge, is transversely and longitudinally post-tensioned to provide high durability. Specified concrete compressive strength was 8700 psi (60 MPa) at 28 days.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".