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Record W3046905571 · doi:10.1183/13993003.00320-2020

Radiotherapy in the era of immunotherapy: teaching an old dog new tricks

2020· article· en· W3046905571 on OpenAlexaff
John Cho, Marc de Perrot

Bibliographic record

VenueEuropean Respiratory Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsAbscopal effectImmunotherapyMedicineRadiation therapyAblative caseVaccinationImmune systemImmunologyCancer researchOncologyInternal medicine

Abstract

fetched live from OpenAlex

The era of immunotherapy is revolutionising the treatment of solid tumours, as well as shifting the radiotherapeutic paradigm. Radiation that can boost the immune system, with non-ablative doses, provide new and exciting opportunities, such as the ability to generate an in situ vaccination. Specifically, we are interested in effecting a systemic (abscopal) response when combined with immunotherapy, and a durable (vaccinal) response when combined with surgery. Potentiating abscopal and vaccinal effects through combination immunoradiotherapy <https://bit.ly/35Ewzv3>

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.057
GPT teacher head0.368
Teacher spread0.311 · 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 designNot applicable
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

Citations2
Published2020
Admission routes1
Has abstractyes

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