State Enterprises’ Financial Stability Coefficients
Bibliographic record
Abstract
Currently national authors suggest using foreign models for determination of actual financial stability of a potential partner. However, it’s unfeasible within Russian market due the fact that these models are based on statistical data of foreign organizations. The paper deals with the problem of scientific-methodic recommendations elaboration concerning improving financial stability of state enterprises based on the improvement of current asset management and development of measures for their application. Study object is state-owned prosthetic and orthopedic enterprises of the city of Moscow. The role and significance of prosthetic and orthopedic enterprises aren’t so much in their scale—they’re relatively small—as in the critical importance of their social dimension. Sustainable management of current assets will allow improving financial standing of enterprises under study and create background for stable maintaining of simple and expanded reproduction. Research findings are detected dependence of current assets influence on financial stability of prosthetic and orthopedic enterprises. Recommended values of financial state indexes of state enterprises under study are calculated using economic and mathematical methods.
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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 | 0.003 | 0.004 |
| 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 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".