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Record W1996316168 · doi:10.4161/onci.24889

IgG4 antibodies and cancer-associated inflammation

2013· article· en· W1996316168 on OpenAlexaff
Panagiotis Karagiannis, Amy E. Gilbert, Frank O. Nestlé, Sophia N. Karagiannis

Bibliographic record

VenueOncoImmunology · 2013
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsSt. Thomas Hospital
FundersMedical Research CouncilCancer Research UK
KeywordsAntibodyInflammationCancerImmunologyImmune systemMedicineCytotoxic T cellMelanomaImmunotherapySubclassCancer immunotherapyCancer researchBiologyInternal medicine

Abstract

fetched live from OpenAlex

The role of B cells and antibodies in cancer is insufficiently understood but is receiving increasing attention. We have recently identified IgG4 as an antibody subclass elicited by melanoma-associated interleukin-10-driven inflammation. In this setting, IgG4 exhibit inefficient immunostimulatory capacity and block the cytotoxic activities of other antibodies. These previously unappreciated mechanisms of immune escape may constitute promising targets for the development of novel anticancer immunotherapies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.311
Teacher spread0.291 · 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.

Study designObservational
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

Citations40
Published2013
Admission routes1
Has abstractyes

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