Bibliographic record
Abstract
The U.S. economy is increasingly reliant on freight movement. Unfortunately, freight movement in the United States is constrained to some extent by its lack of exposure and an emphasis by politicians and the public on passengers. Thus freight has taken a backseat in regional planning by metropolitan planning organizations (MPOs). Metropolitan regions wanting to improve their economies, however, cannot do so without embracing freight, but these regions may not have attempted to plan for freight regionally and thus do not know how to start or what to do. Therefore, if MPOs better understand how to conduct effective freight planning, they can implement successful freight planning programs in their regions. A useful way to do this is to survey existing MPO freight planning processes. Several MPOs have substantial freight components and plan for freight effectively. A nationwide benchmarking and best-practices survey of freight transportation planning of MPOs was conducted. The survey and resulting analysis provide guidelines, ideas, and strategies for MPOs that want to set up or improve current freight transportation planning practices.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".