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Record W2891641109 · doi:10.22494/cot.v6i1.80

Review of international and national principles of law in the field of tissue and cell transplantation and the approaches of improving the regulatory framework of hematopoietic stem cells transplantation in Ukraine

2018· article· en· W2891641109 on OpenAlexaboutno aff
V. Khomenko

Bibliographic record

VenueCell and Organ Transplantology · 2018
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationHarmonizationTransplantationPolitical scienceHaematopoiesisEuropean unionStem cellHematopoietic stem cell transplantationPublic administrationLawMedicineBusinessBiologyInternational tradeCell biologySurgery

Abstract

fetched live from OpenAlex

The article analyses modern international and national laws in the field of tissue and cell transplantation. The peculiarities of regulation of hematopoietic stem cell transplantation (HSCT) in the European Union, USA, Canada, Australia, as well as in Ukraine are considered in detail. Attention is focused on the analysis of general principles of regulation and practical aspects related to harmonization of legislation, standards and practical guides of different countries in the field of HSCT with current unified international standards. These standards should facilitate interstate exchange of quality and safe transplants of hematopoietic stem cells and improve accessibility of this treatment in Ukraine and in the world. The problems and disadvantages of the domestic legislation concerning regulatory support in the field of HSCT are shown. The proposals on improvement of the legal framework efficiency in the field of HSCT in Ukraine are presented.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.259
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2018
Admission routes1
Has abstractyes

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