Bibliographic record
Abstract
The Confederation Bridge is a multi-span bridge which acts as a “fixed link” between New Brunswick and Prince Edward Island, Canada. The bridge opened in 1997 and cost approximately one billion dollars to construct. The Confederation Bridge is 12.9 kilometers long and sits approximately 40 meters above the water, with the exception of one section of the bridge that rises to approximately 60 meters to permit ship traffic to pass beneath it. The bridge is mostly comprised of high strength concrete and reinforcing steel, and rests on 44 piers that sit at a maximum depth of 35 meters of water. The bridge crosses the Atlantic Ocean over a stretch of water known as the Northumberland Strait. This particular body of water is well known for the amount of ice that forms on the channel from January to late April of each year, with ice pans measuring up to four kilometers in diameter and one meter thick. Therefore, the piers needed to be designed so that the forces created by the moving ice would not cause the piers to fail, and cause a catastrophic collapse of the bridge structure. However, such a design has never been done before; therefore no design data was available. The following paper will highlight a comparison of the method used to predict the annual ice loads on the bridge piers versus the actual loads generated from the ice as measured by equipment in the piers.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".