Automated Access: The Recently Completed Automated People Mover at Toronto Pearson International Airport
Bibliographic record
Abstract
In this article, the author discusses the Greater Toronto Airports Authority's (GTAA) construction of an automated people mover (APM) at Toronto Pearson International Airport, Canada's busiest airport, which served 29.9 million passengers in 2005. This project is part of the GTAA's larger Terminal Development Project which is designed to completely renovate two of the airport's three terminals. The article describes the design and construction of three APM stations and the dual elevated guideways which follow an alignment that is adjacent to the roadways leading to the arrivals and departures level serving Terminals 1 and 3. Two independent cable systems operate the APM system in dual shuttle mode. The trains consist of six vehicles, each of which can accommodate 25 passengers. The $136 million project began operation in July 2006. Potential future expansion plans would allow for increasing the system to a total length of 1800m, the addition of a fourth station, and a connection to the Air Rail Link enabling airport access from Toronto's downtown Union Station.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".