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Legal status of national medical research centers

2024· article· en· W4405702626 on OpenAlexaboutno aff
Gyeorgiy Romanovskiy

Bibliographic record

VenueLegal Science and Practice Journal of Nizhny Novgorod Academy of the Ministry of Internal Affairs of Russia · 2024
Typearticle
Languageen
FieldMedicine
TopicScience, Research, and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsBiomedicineDecentralizationNormativePolitical sciencePublic administrationCompetence (human resources)Medical researchAdministration (probate law)Public relationsMedicineLawManagement

Abstract

fetched live from OpenAlex

The article considers the possibility of decentralization of state administration in the sphere of public health by giving a special status to national medical research centers. It is indicated that such practice is present in many countries of the world aimed at accelerated development of innovations in the sphere of biomedicine, reduction of administrative barriers in the process of conducting scientific research. Foreign experience is presented, namely Spain, USA, Canada, within the framework of which a number of administrative powers are delegated to health institutes. It is proposed to expand the competence of Russian national medical research centers due to the possibility of their distribution of grant assistance to scientific organizations, normative regulation of experimental scientific research, approval of ethical examinations of innovations in the field of biomedicine.

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 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)0.017
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.062
GPT teacher head0.453
Teacher spread0.391 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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