7 Lanes...7 Stories: How Class Is are Prepping Key North American Intermodal Corridors For Even More Growth
Bibliographic record
Abstract
With second quarter intermodal volume for 2006 surpassing the typically dominant fourth quarter for 2005, a new milestone has been reached for the decade since such numbers began to be collected by the Intermodal Association of North America. The rise is due to skyrocketing international volume from Asian shippers. With the rise in demand, steps are being taken to ensure capacity keeps pace to avoid bottlenecks such as the ones that occurred in 1994, the last period when growth was so rapid. This article describes efforts of Class I's to prepare for more growth. The railroads covered are BNSF, Canadian National Railway (CN), Canadian Pacific Railway (CPR), CSXI (CSX Intermodal) Kansas City Southern (KCS) Norfolk Southern (NS) and Union Pacific (UP). The article includes maps of key routes, such as the 670-mile Heartland Corridor, which, when completed at the end of 2009, will cut 233 miles from intermodal moves between Norfolk's port and Chicago. The Norfolk-to-Columbus, Ohio, route will save about 300 miles. Additional highlights include the Iron Triangle between Albany, N.Y. and Chicago, Albany and South Florida, and Chicago and South Florida. Each line's plans are detailed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.017 |
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".