MétaCan
Menu
Back to cohort
Record W4391013714 · doi:10.1038/s41594-025-01492-x

Guidelines for minimal reporting requirements, design and interpretation of experiments involving the use of eukaryotic dual gene expression reporters (MINDR)

2025· review· en· W4391013714 on OpenAlexaff
Gary Loughran, Dmitry E. Andreev, Ilya M. Terenin, Olivier Namy, Martin Mikl, Martina M. Yordanova, C. Joel McManus, Andrew E. Firth, John F. Atkins, Christopher S. Fraser, Zoya Ignatova, Shintaro Iwasaki, Joanna Kufel, Ola Larsson, Sebastian A. Leidel, Alexander S. Mankin, Marco Mariotti, Marvin E. Tanenbaum, Ivan Topisirović, Nora Vázquez‐Laslop, Gabriela Viero, Neva Caliskan, Yiwen Chen, Patricia L. Clark, Jonathan D. Dinman, Philip J. Farabaugh, Wendy V. Gilbert, Pavel Ivanov, Jeffrey S. Kieft, Oliver Mühlemann, Matthew S. Sachs, Ivan N. Shatsky, Nahum Sonenberg, Anna‐Lena Steckelberg, Anne E. Willis, Michael T. Woodside, Leoš Shivaya Valášek, Sergey E. Dmitriev, Pavel V. Baranov

Bibliographic record

VenueNature Structural & Molecular Biology · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of AlbertaMcGill University
FundersNational Institute of General Medical SciencesWellcome Trust
KeywordsInterpretation (philosophy)Computational biologyGeneDual (grammatical number)Expression (computer science)GeneticsBiologyCell biologyComputer scienceProgramming languageLinguisticsPhilosophy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

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)0.003
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: Bench or experimental
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.108
GPT teacher head0.451
Teacher spread0.343 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations28
Published2025
Admission routes1
Has abstractno

Explore more

Same venueNature Structural & Molecular BiologySame topicMolecular Biology Techniques and ApplicationsFrench-language works237,207