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Record W4298141287 · doi:10.3389/fbioe.2022.1019081

New genomic techniques and their European Union reform. Potential policy changes and their implications

2022· article· en· W4298141287 on OpenAlexaboutno aff
Tomasz Zimny

Bibliographic record

VenueFrontiers in Bioengineering and Biotechnology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
FundersMinisterstwo Edukacji i Nauki
KeywordsEuropean unionPolitical scienceEconomicsInternational trade

Abstract

fetched live from OpenAlex

The article discusses amendment options (no significant change, lowering of administrative burdens or exemption of certain products from the legislation) for the European Union (EU) authorization procedures of New Genomic Techniques' (NGT) products and their consequences for the sector and research institutions, particularly in the context of internal functioning, placing products on the market and international trade. A reform of the EU regulatory system requires a change in the procedures for the authorization of NGT products, otherwise EU researchers and investors may still be at a competitive disadvantage (as compared to Argentina, Brazil, Canada, United States or the United Kingdom) due to the inefficiency of the current system and the committee procedure for authorization. New legislation, currently being adopted in the United Kingdom is also presented for comparison.

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)0.028
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0040.009
Scholarly communication0.0150.011
Open science0.0030.004
Research integrity0.0400.009
Insufficient payload (model declined to judge)0.0090.002

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 head0.004
GPT teacher head0.217
Teacher spread0.213 · 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 designTheoretical or conceptual
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

Citations9
Published2022
Admission routes1
Has abstractyes

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