GeoRoute: an interactive graphics system for routeing and scheduling over street networks
Bibliographic record
Abstract
The system components, computer configuration, and databases of a multi-purpose graphical tool for applications requiring a network representation of streets in urban and rural areas are described. The underlying data structure is adapted to routeing and scheduling problems for various types of delivery and public works vehicles requiring information about street-to-street connectivity, one-way streets, street types, and illegal turns at intersections. GeoRoute includes the functions required to keep the geographical database up-to-date, locate items on the street network, automatically and/or interactively generate optimized vehicle routes, and produce color maps using standard plotting devices. The street database is stored using an original street segment coding scheme; links are exploded when required for maps or displays. This structure allows large urban networks to be treated globally on standard personal computers running MS-DOS. GeoRoute is being used in a variety of situations, including trip planning for transit customers (based on both planned and real-time schedules), route optimization for armored cars, milk pick-up in rural areas, and public works planning.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.001 | 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 | 0.000 |
| 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 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".