Bibliographic record
Abstract
Canning industry is a traditional sector of the Bulgarian economy. Products offered by the leadingcanning enterprises are sold in all supermarket chains in the country. The industry plays an important role in theBulgarian export sector. Products are successfully sold in the European Union member states, Russia, the formerSoviet republics, the USA, Canada, Israel, Australia, New Zealand, South Africa, etc.The importance of the issue about industrial enterprises’ revenue and financial results, as absolute financialindicators, is based on the fact that by their nature they are elements of the key business indicators system foranalysis and evaluation of financial results, business efficiency and financial stability. Based on the informationabout the amounts and dynamics of revenue and financial results, the management may make proper andsubstantiated decisions for the enterprises’ development, for their market and financial stability in short- andmid-term aspect. However, profit is an indicator that is not sufficient to measure the business efficiency. It needsto be compared with another indicator, for example, costs, revenue, assets, equity, and in this way the amount ofprofit corresponding to BGN 1 of input resources can be defined.Profitability calculated on the basis of revenue has direct effect on the formation and dynamics of other keybusiness indicators showing the business efficiency. Revenue profitability is a direct factor affecting the changesoccurring both in the total asset profitability and in the profitability of the entire capital invested by theindustrial enterprises.This study highlights the revenue of leading enterprises operating in the Bulgarian canning industry for the lastthree years.The subject matter of the study is the methodology for analysis of these enterprises’ revenue. The amount anddynamics of revenue and financial results of ten leading enterprises from the canning industry are analyzed andevaluated. On the basis of the information about the book profit and the total amounts of enterprises’ revenue,profitability is analyzed on the basis of revenue. The information obtained is used to evaluate the deviations ofenterprises’ revenue profitability from the average revenue-based profitability of the reporting enterprises in theindustry.The study is aimed at analyzing and evaluating, on the basis of the empirical data about revenue and financialresults, the position of the enterprises from this industry of the country, according to the revenue-basedprofitability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".