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Record W2951735047 · doi:10.1089/crispr.2018.0053

The Human Right to Science and the Regulation of Human Germline Engineering

2019· review· en· W2951735047 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

VenueThe CRISPR Journal · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMcGill University and Génome Québec Innovation Centre
FundersUniversidad Autónoma de MadridBanco Santander
KeywordsGermlineCorporate governanceLegislationPolitical scienceHuman rightsObstacleIdeal (ethics)Engineering ethicsAutonomyCRISPRLaw and economicsEngineeringLawSociologyBiologyManagementGeneticsEconomics

Abstract

fetched live from OpenAlex

There is currently no international consensus on how human germline engineering should be regulated. Existing national legislation fails to provide the governance framework necessary to regulate germline engineering in the CRISPR era. This is an obstacle to scientific and clinical advancements and inconsistent with human rights requirements. To move forward, we suggest that the human right to science is an ideal starting point for building consensus, at the national and international levels, on governing principles that promote responsible scientific and technological advancements. Regulatory frameworks must recognize the international nature of modern germline genome engineering research, the need for shared governance rather than tech-locked prohibitions, and the fact that humans are not their germline.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.359
Teacher spread0.341 · 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