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Record W3033301530

Governing stem cells: regenerative medicine in Europe - the vision and recommendations from the EUCelLEX project

2018· article· en· W3033301530 on OpenAlexaff
Jessica Bell, Natalie Bordag, Pascal Borry, Jasper Bovenberg, Georges Dagher, Jasjote Grewal, Nils Hoppe, Rosario Isasi, Jane Kaye, Bartha Maria Knoppers, Koko Kwisda, Michael Morrison, Adeline Néron, Herman Nys, Lisa Oberauner‐Wappis, Emmanuelle Rial‐Sebbag, Judit Sándor, Mahsa Shabani, Virginie Tournay, Márton Varjú, Kurt Zatloukal

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2018
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsMcGill University
FundersLeibniz-GemeinschaftGottfried Wilhelm Leibniz Universität HannoverChinese Academy of SciencesEuropean Commission
KeywordsPresentation (obstetrics)CommissionEuropean commissionPolitical scienceEngineering ethicsRegenerative medicineLibrary scienceEngineeringBusinessComputer scienceMedicineLawStem cellEuropean union
DOInot available

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.100
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.527

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1000.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0180.012
Open science0.0040.013
Research integrity0.0340.017
Insufficient payload (model declined to judge)0.0050.001

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 head0.055
GPT teacher head0.312
Teacher spread0.257 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2018
Admission routes1
Has abstractyes

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