Структурные параметры фармацевтического рынка Российской Федерации в 2001-2014 годах: закономерности формирования и тенденции развития
Bibliographic record
Abstract
The structure of the pharmaceutical market of the Russian Federation is influenced by external and internal factors, the last ones are connected with certain regularities in the development of the market. On the basis of the retrospective analysis of data 2001-2014 years made conclusions about the main trends in the pharmaceutical market of the Russian Federation. The patterns of development on the pharmaceutical market of the Russian Federation in 2001-2014 years are a reflection of the fact that the current trajectory of development of the pharmaceutical market of the Russian Federation that is going to which stages that are characterised the already established pharmaceutical markets in such countries as Germany, France, Japan, USA, Canada, UK and other. The article also discusses the issues of social importance on the pharmaceutical market.
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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 | 0.010 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.008 |
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; both teacher heads agree on what is shown here.
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".