Proceedings of the 26th International Analytical Ultracentrifugation Workshop and Symposium
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.
Bibliographic record
Abstract
The 26th International Analytical Ultracentrifugation Workshop and Symposium (AUC2024) took place at the scenic Banz Abbey near Bad Staffelstein, Germany, from July 22 to 27, 2024. 84 participants from 16 countries (Belgium 1, Canada 7, China 3, Colombia 1, Czech Republic 3, Finland 1, France 3, Germany 35, Israel 1, Italy 1, Japan 2, New Zealand 2, Spain 1, Switzerland 4, United Kingdom 5, United States 14) travelled to Germany to present and discuss the latest advances in the field. 40 workshop sessions were held by world-leading experts covering all aspects of AUC including experimental design, data analysis and data processing according to good manufacturing practice (GMP), but also complementary methods such as hydrodynamic modelling, isothermal titration calorimetry and small angle X-ray scattering data processing were considered. A visit to a stalactite cave in Franconian Switzerland and the Bavarian beer museum in Kulmbach offered a welcome change to the scientific program and started off the 3-day symposium. The presentations featured of course AUC, but also dynamic and static light scattering, small angle X-ray and neutron scattering, surface plasmon resonance, field flow fractionation, calorimetry, chromatography, and electron microscopy. The AUC2024 special volume provides a comprehensive overview of the sustained innovation, utility and relevance of AUC and related solution biophysical and particle technology methods across various disciplines, including biochemistry, structural biology, synthetic polymer chemistry, carbohydrate chemistry, protein and nucleic acid characterization, nano and colloids science, and macromolecular interactions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it