Proceedings of the 26th International Analytical Ultracentrifugation Workshop and Symposium
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.027 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".