TERMINAL CAPACITY : NORTH AMERICAN RAILROADS WILL NEED MORE OF IT TO HANDLE TODAY'S - AND TOMORROW'S - INTERMODAL TRAFFIC
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Railroads in North America are experiencing a boom in intermodal traffic, leading industry analysts to forecast a 3.8% increase in 2005 in their trailer and container movements as compared to 2004. One of the primary reasons for this growth in intermodal traffic is the big influx of traffic from Asia. This rise in intermodal shipments, however, is weighing heavily on the terminal capacity of roads, which in turn has prompted the railroads themselves to build their own intermodal facilities, or expand existing ones. This article looks at various railroads and their capacity expansion efforts. Kansas City Southern (KCS), known as the NAFTA Railroad, is focusing on building terminals in the U.S./Mexico border region. Other railroads profiled include Burlington Northern Santa Fe(BNSF), Canadian National Railway (CN), and Florida East Coast Railway (FECR).
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.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it