Reporte del congreso Mecanismos inmunológicos de la vacunación; diciembre 13-18 de 2012, Ottawa, Canadá
Bibliographic record
Abstract
The conference Immunological Mechanisms of Vaccination of the Keystone Symposia was held on December 13-18, 2012, in Ottawa, Canada. There were more than 400 participants from all over the world in the fi eld of immunology and vaccine research. During fi ve days, attendees had the possibility to present and discuss their current work and also to encourage new collaborations. Fifty-fi ve oral presentations were grouped in seven sessions according to the following topics: Innate sensing of pathogens and vaccines, Augmenting immune response to vaccines, T and B cell memory to vaccines, Understanding signatures of vaccine protective effi cacy, Translating immunity to vaccines and Vaccines against global threats. Additionally, more than 240 posters were presented and two workshops on Novel adjuvants and Vaccine delivery were organized. The quality of the papers presented at this conference shows that there is a global concern in eradicating chronic and re-emerging infectious diseases. Currently, a special attention is focused to the search for new and potent adjuvants and delivery systems that allows the generation of the immune response at the systemic and mucosal compartments to increase vaccine effi cacy.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.054 | 0.019 |
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".