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Record W2131162893

Структурные параметры фармацевтического рынка Российской Федерации в 2001-2014 годах: закономерности формирования и тенденции развития

2015· article· ru· W2131162893 on OpenAlexaboutno aff
А. В. Евстратов

Bibliographic record

VenueIZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY · 2015
Typearticle
Languageru
FieldDecision Sciences
TopicEconomic, Social, and Public Health Issues in Russia and Globally
Canadian institutionsnot available
Fundersnot available
KeywordsRussian federationPharmaceutical industryMarket developmentBusinessPolitical scienceEconomicsMarket economyEconomic policyMedicine
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.116
GPT teacher head0.361
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueIZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITYSame topicEconomic, Social, and Public Health Issues in Russia and GloballyFrench-language works237,207