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Record W1437628783 · doi:10.54111/0001d/1

Europe and the United Nations: Clinical Trials, Not Criminal Trials

2014· article· en· W1437628783 on OpenAlexaff
Amir Attaran, Roger Bate, Stefano Bonino, Paul N. Newton

Bibliographic record

VenueHPHR Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsClinical trialCriminal trialMeaning (existential)Political scienceLawIrishCriminologyMedicinePsychology

Abstract

fetched live from OpenAlex

Conducting clinical trials has never been harder, but it may soon become criminal too, under two dangerously unwise legal initiatives emanating from Europe. Two well-meaning legal texts designed to fight falsified or substandard medicines—one from the Council of Europe (CoE), and another from the UN Office of Drugs and Crime (UNODC) but drafted by the Irish Medicines Board—are so negligently done that they would expose honest researchers and drug manufacturers to prosecution, simply for their involvement in something so basic as a placebo-controlled trial. If clinical trials are not unwittingly to lead to criminal trials, the research community must intervene against these errant legal proposals becoming binding.

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)0.246
metaresearch head score (Gemma)0.318
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.948
Threshold uncertainty score0.930

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2460.318
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.005
Science and technology studies0.0060.071
Scholarly communication0.0280.033
Open science0.0030.011
Research integrity0.0520.047
Insufficient payload (model declined to judge)0.0060.003

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 head0.895
GPT teacher head0.706
Teacher spread0.189 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreCommentary

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
Published2014
Admission routes1
Has abstractyes

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