Evaluation of rural ITS information systems along U.S. 395, Spokane, Washington
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
As part of the Intelligent Transportation Systems (ITS) Integration Program as authorized in the Transportation Equity Act for the 21st Century (TEA-21), the U.S. Federal Highway Administration (FHWA) funded the Washington State Department of Transportation (WSDOT) to install various ITS technologies in the mostly rural and mountainous region north of Spokane, Washington to the Canadian border. These system components are intended to facilitate collecting and communicating information to commercial vehicle operators, public motorists, and maintenance crews concerning current weather conditions, road surface conditions, border crossings, floods, slide areas, and other information necessary to assist roadway users in making informed travel decisions. Enhanced traveler information can increase safety, improve the efficiency of commercial vehicle operations, benefit road maintenance activities, and provide the general traveler with an increased level of knowledge and comfort regarding the conditions that they may encounter.\n
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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