Preface: Seventh World Congress on Vaccines, Immunisation and Immunotherapy
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
This special issue of Human Vaccines is based on the Seventh World Congress on Vaccines, Immunisation and Immunotherapy (WCVII), which was organized from 26 to 28 of May 2010 by the Infections Control World Organization (ICWO) in Berlin, Germany. The venue of the Congress at the elegant Kaiserin Friedrich Haus (previously harboring the Academy of Arts of East Germany) was located in the historic city center. The full three days of Congress with morning plenary sessions, afternoon symposia, and poster presentations were attended, from all continents, by medical specialists in immunisation, immunotherapy and scientists devoted to developing new immunogenic and safe vaccines. The Congress was held under the auspices and with the scientific cooperation of Medical Faculties of the University of Montreal, Charité-Universitätsmedizin Berlin, University of Genoa, University of Barcelona, University of Florence, University of Milan, Griffith University, Gold Coast, Robert-Koch-Institute, Berlin, Max-Planck-Institute for Infection Biology, Berlin, Karolinska Institutet, Stockholm, Fraunhofer USA Center for Molecular Biotechnology, and Netherlands Vaccine Institute, among others. The opening lecture of the Congress on new vaccination strategies against tuberculosis was delivered by Professor Dr Stefan H.E. Kaufmann, Director of the Max-Planck-Institute.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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