Holistic Feasibility Study for Different Investment Alternatives
Bibliographic record
Abstract
A feasibility study can be characterized as an assessment of potential effect of a proposed project. It is directed to help towards figuring out whether to establish a particular project. A feasibility study's main goal is to assess the economic viability of the proposed business. In this paper, the authors present a study that is done for an investor who wants to choose the most profitable alternative among four mutually exclusive alternatives. The alternatives include buying land and selling it after nine years, constructing an office building, constructing a shopping center, or constructing a multistory parking building. The office, shopping center, and parking buildings have a built-up area of 50,000 sf. The designated land area is located in Montreal downtown area, Canada. After performing the economic analysis, the shopping center turns out to be the most feasible. Finally, some supplementary analysis is applied to specify the most sensitive attribute. It is found that changing the minimum acceptance rate of return would have the most impact on the calculated results.
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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 | 0.013 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".