Bibliographic record
Abstract
Aerial ropeway systems, also called gondolas and aerial cable cars, are amongst driverless transportation modes, which are progressively drawing attention in promoting tourism. Aerial ropeway systems have been operated in touristic spots (e.g., over lakes, rivers, and hilly lands) in several countries. Passengers can enjoy a view from above and experience a stress-free and reliable trip. Furthermore, those systems can be exploited as public transportation in urbanized and populated regions. The objective of this article is to investigate the viability of implementing a gondola line over Doha Bay in Qatar as a tourist attraction from marketing, economic, and environmental points of view. In this study, the associated costs (capital, maintenance, and operating) of implementing a monocable detachable gondola technology (MDG) are estimated using international best practices. The economic analysis outcome demonstrates that the revenues generated from fares could offset the required capital investment as well as operating and maintenance costs and hence the proposed gondola could be economically attractive for investors. Moreover, no significant negative impacts and footprint on the environment are anticipated at the exploitation phase of the gondola.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".