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Record W7135472524

Wind interviewet til Jyllands-Posten om flygtningen af det Europæiske Lægemiddelsagentur

2017· article· da· W7135472524 on OpenAlexaff
Marlene Wind

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2017
Typearticle
Languageda
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsVisibilityWork (physics)Telehealth
DOInot available

Abstract

fetched live from OpenAlex

Da Storbritannien har meddelt, at de vil træde ud af EU skal det Europæiske Lægemiddelsagentur placeres i et nyt land. Til dette har Danmark ansøgt. Men briterne håber stadig at kunne beholde agenturet. Til det kommenterede Marlene Wind i Jyllands-Posten onsdag d. 19. april:<br/><br/>”Der er mange lande, som slet ikke har noget EU-agentur, så hvordan skulle de kunne nikke ja til, at Storbritannien får lov til at beholde to agenturer, når de har valgt at sige farvel til EU? Det er meget usandsynligt.”

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0190.004
Scholarly communication0.0000.001
Open science0.0070.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4070.198

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 head0.216
GPT teacher head0.420
Teacher spread0.204 · 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
Published2017
Admission routes1
Has abstractyes

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