Bibliographic record
Abstract
The Seal Island Bridge is located on a vital stretch of the Trans-Canada Highway. Because closing the bridge to facilitate a recent rehabilitation and deck replacement project would have a significant impact on the region's economy, minimizing traffic disruption was a major factor in choosing a structural repair system. This article discusses the evaluation and construction process for the bridge project. After considering several alternatives, a precast concrete bridge deck was chosen because it met the most important criteria: durability; constructibility and ability to meet stringent construction schedules while minimizing traffic disruption; cost-efficiency in terms of both capital and life cycle costs; and contribution to the stiffness and damping of the supporting structure for vibration control. The existing steel superstructure was reinforced to carry the weight of the new structure and to meet the current design live load code. The construction sequence allowed the retention of a driving lane while replacing half of the deck. Only three overnight closures per week were required. The new deck system is lighter than a conventional cast-in-place concrete deck system, which reduced the amount of truss reinforcement required. The new deck system is also more durable than conventional systems since it is designed to be crack-free under service load conditions.
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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".