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Record W4411466886 · doi:10.1021/acssynbio.5c00232

The Japan-UK Synthetic Biology Conference, Spring 2025: Strengthening Global Links to Engineer Biology

2025· article· en· W4411466886 on OpenAlex
Thomas E. Gorochowski, Michael A. Brockhurst, Francesca Ceroni, Yuka W. Iwasaki, Nozomu Yachie

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

VenueACS Synthetic Biology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of British Columbia
FundersBiotechnology and Biological Sciences Research CouncilNational Institute of GeneticsCore Research for Evolutional Science and TechnologyUniversity of ManchesterRoyal Society
KeywordsSynthetic biologyBiologyEngineering ethicsEngineeringComputational biology

Abstract

fetched live from OpenAlex

Both Japan and the UK have recognized the growing importance of synthetic and engineering biology for transforming life science research and transitioning toward a sustainable biobased economy. Such a shift will require extensive international cooperation and collaboration. In this viewpoint, we provide a summary of the recent "Japan-UK Synthetic Biology Conference, Spring 2025" that aimed to facilitate new links between researchers across the broad field of synthetic biology. We cover the core scientific topics discussed, distill some of the emerging trends, and outline the remaining challenges that are hampering progress. We end by highlighting some of the ways in which international collaborations may help address these issues through a combination of sharing expertise, national infrastructures, and aligned funding.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.008
GPT teacher head0.309
Teacher spread0.301 · 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