Methods of Risks Estimation and Analysis of Business Processes
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
Abstract In the paper the model of business processes of a data‐flow type and operations above them are entered into reviewing. The methods of the analysis of business processes on effectiveness are offered. The methods of an risk estimation and analysis of business processes are considered also. The task of risk estimation and using it on practice in managing economic systems with using processing approach is investigated. Conditional‐internal and conditional‐external risks are considered and proved their properties. Metrics of risks estimation are given as highest comparative and absolute losses, average losses etc. Inefficiency of using risk estimation procedures by dispersion and quantiles is shown. Approaches to the business‐processes indicators optimization proposed and investigated in the area “risk‐profit” (“risk‐indicator”). This optimization is realized by using utility function as multicriterion problem. Functional, stochastic dependences between risks are shown, that do not allow to optimize risks only (separate from indicators). The task of risk managing in economic systems is work out in complex with the tasks of it's analysis, modeling and optimization. The problem of factor analysis in deterministic form is investigated too.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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