Individualization of Risks Diagnostics in Assessment of Investment Potential of Sectoral Companies in Developing Countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Maintaining of the high level of investment potential of sectoral companies in developing countries, along with their sustainable development, constitutes an area of paramount importance of such companies' activity, particularly in the situation of global economic instability and mounting competitive pressure. In its turn, the development of the investment potential of a sectoral company aimed at improving its investment attractiveness necessitates the development of specific methodological tools allowing for a comprehensive approach to the issues of estimation of the existing uncertainty as well as unbiased diagnostics of risks affecting the operating efficiency of a company. The present paper describes an original method of individualized diagnostic approach to the risks of a sectoral company and assessment of the level of risks to investment potential. The practical aspects of risk assessment are discussed using a power-generating company as an example. The requirements for a modern risk management system of sectoral companies in developing countries were suggested as principles to be used in the course of the conducted study. © 2018 WIT Press.
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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 | 0.001 | 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 it