Economic Mathematical Modeling of Attributed Costs of Production in Industrial Enterprises
Why this work is in the frame
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Bibliographic record
Abstract
Statement of a problem: the present article is theoretical and methodological research focused on analysis and provisioning the basics for using different approaches to economic mathematical modeling of attributed costs of production in industrial enterprises. Approach: in its methodological part the article is based on a set of economic mathematical modeling methods. In particular, method of graphical simulation was used as well as regression modeling method. Research results allow making conclusion that using graphical approaches to modeling of attributed costs of production does not always provides relevant and objective results. Authors prove that the best and the most practical way is to use regression and correlation modeling methods in managing cost prices. Conclusion/recommendations: materials provide in this article are an addition to general management theory as well as extension of theoretical and methodological basis of production management. Main theoretical and methodological results obtained in the work are recommended as development platform for making high quality and effective management decisions in modeling cost price, volume of production and revenue of an enterprise.
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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 | 0.000 | 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