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Record W7086951354 · doi:10.15151/esrf-es-2212959383

Munich Crystallography BAG

2025· dataset· en· W7086951354 on OpenAlexaff

Bibliographic record

VenueEuropean Synchrotron Radiation Facility · 2025
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsInstitute of Aging
FundersEuropean Synchrotron Radiation Facility
KeywordsFolding (DSP implementation)Protein foldingChromatinRNAGroup (periodic table)Range (aeronautics)

Abstract

fetched live from OpenAlex

The diverse groups of the Munich Crystallography BAG study a far range of subjects, reaching from structural aspects of fundamental cellular processes - such as RNA processing, protein folding and degradation, DNA repair, chromatin remodelling, enzymes - to the design of foldamers. The research groups are located at the LMU and TUM universities in Munich, at the Max-Planck-Institute of Biochemistry, Martinsried, and the Helmholtz Center, Neuherberg. Out-groups are located at the universities in Darmstadt and Ulm, Germany. The research groups use X-ray crystallography, single-particle cryo-EM, cryo-ET, SAXS, NMR and HDX and XL-MS mass-spectrometry for structural studies.

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.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.192
Threshold uncertainty score0.642

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0040.010
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0050.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1920.211

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 head0.250
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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