The 16th Annual International Oncolytic Virotherapy Conference (IOVC) in Rotterdam: For the dreamers and doers of oncolytic virotherapy
Bibliographic record
Abstract
From October 27-30 2024, the 16th International Oncolytic Virotherapy Conference (IOVC) was held in Rotterdam, the Netherlands, a city that mirrors the spirit of resilience, conviction, and innovation of researchers in the field of oncolytic viruses. Rotterdam, renowned for its post-war rebuilding with cutting-edge architecture designed for a bright future in mind, provided a fitting reflection that oncolytic virotherapy is at a turning point in its evolution. Hosted at the International Congress Center De Doelen, the event gathered clinicians, scientists, and biotech leaders to showcase the most up-to-date clinical applications, novel viral platforms, targeted mechanisms, and immune-modulating strategies that will push the boundaries of cancer immunotherapy into the next era. We present here an overview of this engaging meeting and offer our own perspectives on where to dream and continue to build.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.041 | 0.012 |
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".