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Record W2967841925 · doi:10.54648/erpl2019021

Regulating Certification Bodies in the Field of Medical Devices: The PIP Breast Implants Litigation and Beyond

2019· article· en· W2967841925 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Review of Private Law/Revue européenne de droit privé/Europäische Zeitschrift für Privatrecht · 2019
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsCertificationField (mathematics)Medical deviceMedicinePolitical scienceLawBiomedical engineering

Abstract

fetched live from OpenAlex

This article uses the breast implants scandal around the French producer Poly Implant Prothèse (PIP) to discuss the regulation of medical devices in EU law. Thereby, the specific focus is on the role of tort liability of certification bodies in complementing the public law regime of medical devices law. As tort law has not been harmonized yet at the level of EU law, national legal systems may produce different results; which indeed the PIP case demonstrates, with diverging judgments from French and German courts. Showing the deficiencies of the public law system of the Medical Devices Directive of 1993 as well as of the new Medical Devices Regulation of 2017, the article argues that tort liability is a necessary regulatory instrument to ensure that certification bodies live up to their duties under medical devices law and therefore a necessary instrument for the protection of the health and safety of patients.

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.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.303
Teacher spread0.284 · 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