Bibliographic record
Abstract
The Advanced Traveller Information System (ATIS) is a web-based technology which provides the public critical information on incidents, detours, road closures general road conditions and travel times. ATIS helps motorists make informed decisions to improve their commute, reduce the environmental impact of driving and lessen driver frustration. As the primary source for traffic information in Calgary, ATIS makes it possible to communicate real-time information about Calgary's roadways through a variety of methods, including website updates, Smartphone access, subscription services, Dynamic Message Signs (DMS) and Traffic Advisory Radio updates. Additionally, static images from Calgary traffic cameras are fed to the ATIS website for viewing by the public. News media can distribute this information to the public via radio and television. Future access to traffic information is anticipated through Smartphone applications, additional websites and Global Positioning System (GPS) system providers by way of an open data feed. The City of Calgary's Roads Traffic Engineering division and corporate website development team, Webwave, worked together to implement a new traveller information system in preparation for the launch of a new Calgary.ca website. Starting work in early 2011, the intent of this project was to replace the existing Condition Acquisition and Reporting System (CARS) system with a modern ATIS system. Completed in November 2012, the ATIS proprietary software was created completely in-house by City of Calgary resources. In addition, a Bluetooth Travel Time Display system was developed to display actual travel times via DMS, and eventually, on the ATIS website. For the covering abstract of this conference see ITRD record number 201310RT334E.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.129 | 0.084 |
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".