Bibliographic record
Abstract
South Africa hosts the 2010 FIFA World Cup, considered to be the world’s premier sporting event. As well as preparations for the events themselves, improving the transportation network is a priority. Included among the initiatives, the City of Johannesburg is implementing a bus rapid transport system in primarily an exclusive median, and Intelligent Transport Systems (ITS) throughout the City. The ITS systems being deployed are part of a developed and coherent ITS Road Map prepared by Stewart Scott International (SSI), South Africa and Delcan International Corporation (Delcan), Canada to meet the requirements and needs for this important event and beyond. In this paper the authors will provide an overview of Johannesburg ITS integrated deployment from the early conception associated with the development of the ITS Road Map up to current implementation status including a review of the needs, the approaches considered and the technology and systems implemented. The paper will also present the procurement approaches and procurement options which were analyzed and finally implemented in Johannesburg including the challenges faced during the deployment and how these challenges have been managed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".