Bibliographic record
Abstract
Congestion is part of any urban area, but Vancouver's complex river system, including the Fraser River, the Pitt River and the Burrard Inlet, poses unique challenges as multiple bridge crossings must connect the area's rapidly growing communities. Carrying about 127,000 vehicles/day over the Fraser River, the 5-lane Port Mann Bridge has one of the highest traffic volumes, and is the most congested of the region's major bridges. In 1964, the bridge was built at 4 lanes to accommodate a population of 850,000 in the Lower Mainland, but the population has now reached 2.2 million and is growing fast. The government projects an additional 1 million people by 2030, and the Port Mann crossing will need extended capacity in both directions. This article provides an overview of the Port Mann Bridge/Highway 1 Project, a $1.93 billion plan that will build a new cable-stayed bridge and upgrade interchanges and safety for 37 km of Highway 1 from the McGill Street Interchange in Vancouver to 216th Street in Langley. The improvements are expected to reduce travel times by as much as 30%.
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 | 0.010 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.245 | 0.043 |
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".