MétaCan
Menu
Back to cohort

Forecast of the consequences of the adoption draft bill No. 912246-7 on amendments to the legislation on the circulation of medicines and health care for the Russian pharmaceutical market

2020· article· en· W3130720841 on OpenAlex
С. И. Колесников, I. N. Dyndikov

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRussian competition law and economy · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicEconomic, Social, and Public Health Issues in Russia and Globally
Canadian institutionsThe Alberta Paraplegic Foundation
Fundersnot available
KeywordsMonopolizationLegislationRussian federationPharmacyFederal lawLawCirculation (fluid dynamics)BusinessState (computer science)Political scienceHealth carePublic administrationEconomicsMonopolyEngineeringEconomic policy

Abstract

fetched live from OpenAlex

The article is devoted to assessing the possible consequences of the adoption of Draft Law No. 912246-7 “On amending the Federal Law «On the treatment of medicines” and “On the basics of protecting the health of citizens in the Russian Federation” introduced in the State Duma of the Federal Assembly of the Russian Federation on March 2nd, 2020. Critical review leads the authors to the conclusion that this draft law requires significant revision to the second reading, as it does not address the main issues of countering the monopolization of the pharmacy market and does not contribute to the support of domestic drug manufacturers.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.111
GPT teacher head0.373
Teacher spread0.262 · 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