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Record W4409194271 · doi:10.1684/vir.2025.1077

The 16th Annual International Oncolytic Virotherapy Conference (IOVC) in Rotterdam: For the dreamers and doers of oncolytic virotherapy

2025· article· en· W4409194271 on OpenAlexaff
David Olagnier, Tommy Alain

Bibliographic record

VenueVirologie · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsOncolytic virusVirotherapyVirologyMedicineVirus

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.344
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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