The Innovative Model for the Formation of a Database Used to Assess a System of Economic Security of Retail Companies
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
The article highlights topicality of an issue related to assessing economic security of retail companies, which face hazards and threats under contemporary unstable economic conditions, for making decisions concerning ensuring a high level of the economic security, efficiency, and sustainable development of a company in general. The authors have developed a model of forming a database for assessing economic security of retail companies using mathematical modelling in order to avoid difficulties in the process of forming the database. Application of mathematical methods enables to create the more informative database, which will be used to conduct a more thorough analysis. This allows to make effective managerial decisions regarding ensuring a high level of economic security of a retail company. A methodical tool of M. Pohozhykh and M. Safronova underlies the model of forming the database for assessing economic security of a retail company applying methods of mathematical modelling. The methodical tool consists in modelling an n-dimensional geometric shape, namely a n- dimensional parallelepiped, taking into account properties of the Euclidean space. The model of forming the database for conducting an assessment is an outcome of the scientific research.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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