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Biotechnology

2006· book-chapter· en· W4388136181 on OpenAlexaboutno aff
Thijs Etty

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultural biotechnologyCommissionInternational tradeLegislationEuropean unionAgriculturePolitical scienceEuropean commissionAuthorizationDe factoBusinessBiotechnologyLawGeographyBiology

Abstract

fetched live from OpenAlex

Abstract Following the epic year 2003, which brought an imposing wave of legislation and policy breakthroughs in the area of biotechnology regulation, one might have expected but small ripples during 2004. However, though perhaps not as eventful as its preceding annum, this survey year once again saw vital developments in this still emerging area of European Community (EC) law. In the face of mounting international pressure—or perhaps most importantly, the prospect of multi-billion Euro trade damage retaliation measures—the Commission finally managed to lift the EC’s oft-discussed de facto moratorium on approvals of new genetically modified organisms (GMOs). By way of the recently adopted new regulatory procedures for GMO authorizations, the Commission was able to push through its longstanding affirmative stance on the products of ‘green’ biotechnology, in spite of continued deadlock among the Member States. Whilst it remains to be seen whether the ‘floodgates’ of Europe have now been opened to a stream of new genetically modified (GM) import commodities from the world’s leading GMO producers, the United States of America (US), Canada, and Argentina, a vital precedent has been set. Adding to this, in a related move, the Commission made the debut inscriptions in the European Union (EU) Common Catalogue of Agricultural Plant Species, enabling the cultivation of 17 varieties of US-made GM maize lines on European farming fields. Two (closely related) major outstanding dossiers are the EC’s policy for coexistence of GM, conventional, and organic agriculture, and the pending rules for purity of conventional seeds, and labelling thresholds for adventitious admixture of those seeds with GM varieties.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.883
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0180.003

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 head0.027
GPT teacher head0.209
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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