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Record W2139248228 · doi:10.1186/gm530

International ethics harmonization and the global alliance for genomics and health

2014· article· en· W2139248228 on OpenAlex
Bartha Maria Knoppers

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGenome Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsMcGill UniversityMcGill University and Génome Québec Innovation Centre
FundersGenome Canada
KeywordsData sharingInteroperabilityKnowledge managementAccountabilityMedicineBusinessComputer sciencePolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

On 28 January 2013, funders and researchers met to discuss how to enable rapid progress for biomedicine by lowering global barriers to responsible and secure data sharing Since then, over 130 leading organizations in health care, research and disease advocacy, operating in 40 countries, have signed a letter of intent to work towards the creation of a Global Alliance for Genomics and Health (GA4GH) [2]. There are three goals: to enable open standards for interoperability of technology platforms for managing and sharing genomic and clinical data, to provide guidelines and harmonized procedures for privacy and ethics internationally, and to engage stakeholders to encourage responsible sharing of data and of methods.

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)0.010
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.495
GPT teacher head0.587
Teacher spread0.093 · 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